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+---
+language: to
+language_name: Tongan
+language_family: austronesian_polynesian
+tags:
+  - wikilangs
+  - nlp
+  - tokenizer
+  - embeddings
+  - n-gram
+  - markov
+  - wikipedia
+  - feature-extraction
+  - sentence-similarity
+  - tokenization
+  - n-grams
+  - markov-chain
+  - text-mining
+  - fasttext
+  - babelvec
+  - vocabulous
+  - vocabulary
+  - monolingual
+  - family-austronesian_polynesian
+license: mit
+library_name: wikilangs
+pipeline_tag: text-generation
+datasets:
+  - omarkamali/wikipedia-monthly
+dataset_info:
+  name: wikipedia-monthly
+  description: Monthly snapshots of Wikipedia articles across 300+ languages
+metrics:
+  - name: best_compression_ratio
+    type: compression
+    value: 3.497
+  - name: best_isotropy
+    type: isotropy
+    value: 0.1197
+  - name: vocabulary_size
+    type: vocab
+    value: 0
+generated: 2026-01-11
+---
+
+# Tongan - Wikilangs Models
+## Comprehensive Research Report & Full Ablation Study
+
+This repository contains NLP models trained and evaluated by Wikilangs, specifically on **Tongan** Wikipedia data.
+We analyze tokenizers, n-gram models, Markov chains, vocabulary statistics, and word embeddings.
+
+## 📋 Repository Contents
+
+### Models & Assets
+
+- Tokenizers (8k, 16k, 32k, 64k)
+- N-gram models (2, 3, 4, 5-gram)
+- Markov chains (context of 1, 2, 3, 4 and 5)
+- Subword N-gram and Markov chains
+- Embeddings in various sizes and dimensions (aligned and unaligned)
+- Language Vocabulary
+- Language Statistics
+
+![Performance Dashboard](visualizations/performance_dashboard.png)
+
+### Analysis and Evaluation
+
+- [1. Tokenizer Evaluation](#1-tokenizer-evaluation)
+- [2. N-gram Model Evaluation](#2-n-gram-model-evaluation)
+- [3. Markov Chain Evaluation](#3-markov-chain-evaluation)
+- [4. Vocabulary Analysis](#4-vocabulary-analysis)
+- [5. Word Embeddings Evaluation](#5-word-embeddings-evaluation)
+- [6. Morphological Analysis (Experimental)](#6--morphological-analysis-experimental)
+- [7. Summary & Recommendations](#7-summary--recommendations)
+- [Metrics Glossary](#appendix-metrics-glossary--interpretation-guide)
+- [Visualizations Index](#visualizations-index)
+
+---
+## 1. Tokenizer Evaluation
+
+![Tokenizer Compression](visualizations/tokenizer_compression.png)
+
+![Tokenizer Fertility](visualizations/tokenizer_fertility.png)
+
+![Tokenizer OOV](visualizations/tokenizer_oov.png)
+
+![Total Tokens](visualizations/tokenizer_total_tokens.png)
+
+### Results
+
+| Vocab Size | Compression | Avg Token Len | UNK Rate | Total Tokens |
+|------------|-------------|---------------|----------|--------------|
+| **8k** | 3.249x | 3.26 | 0.0193% | 181,040 |
+| **16k** | 3.400x | 3.41 | 0.0202% | 173,006 |
+| **32k** | 3.497x 🏆 | 3.50 | 0.0208% | 168,209 |
+
+### Tokenization Examples
+
+Below are sample sentences tokenized with each vocabulary size:
+
+**Sample 1:** `*E.W. Gifford, Tongan myths and tales, Bernice Pauahi Bishop museum bulletin 8,`
+
+| Vocab | Tokens | Count |
+|-------|--------|-------|
+| 8k | `▁* e . w . ▁gifford , ▁tongan ▁myths ▁and ... (+10 more)` | 20 |
+| 16k | `▁* e . w . ▁gifford , ▁tongan ▁myths ▁and ... (+10 more)` | 20 |
+| 32k | `▁* e . w . ▁gifford , ▁tongan ▁myths ▁and ... (+10 more)` | 20 |
+
+**Sample 2:** `Ko Pulukalia ko ha fonua ia ʻi ʻEulope. ʻi ʻEulope`
+
+| Vocab | Tokens | Count |
+|-------|--------|-------|
+| 8k | `▁ko ▁puluka lia ▁ko ▁ha ▁fonua ▁ia ▁ʻ i ▁ʻ ... (+6 more)` | 16 |
+| 16k | `▁ko ▁pulukalia ▁ko ▁ha ▁fonua ▁ia ▁ʻ i ▁ʻ eulope ... (+5 more)` | 15 |
+| 32k | `▁ko ▁pulukalia ▁ko ▁ha ▁fonua ▁ia ▁ʻ i ▁ʻ eulope ... (+5 more)` | 15 |
+
+**Sample 3:** `*E. Wood-Ellem, Queen Sālote of Tonga, Auckland university press,`
+
+| Vocab | Tokens | Count |
+|-------|--------|-------|
+| 8k | `▁* e . ▁wood - ellem , ▁queen ▁sālote ▁of ... (+6 more)` | 16 |
+| 16k | `▁* e . ▁wood - ellem , ▁queen ▁sālote ▁of ... (+6 more)` | 16 |
+| 32k | `▁* e . ▁wood - ellem , ▁queen ▁sālote ▁of ... (+6 more)` | 16 |
+
+
+### Key Findings
+
+- **Best Compression:** 32k achieves 3.497x compression
+- **Lowest UNK Rate:** 8k with 0.0193% unknown tokens
+- **Trade-off:** Larger vocabularies improve compression but increase model size
+- **Recommendation:** 32k vocabulary provides optimal balance for production use
+
+---
+## 2. N-gram Model Evaluation
+
+![N-gram Perplexity](visualizations/ngram_perplexity.png)
+
+![N-gram Unique](visualizations/ngram_unique.png)
+
+![N-gram Coverage](visualizations/ngram_coverage.png)
+
+### Results
+
+| N-gram | Variant | Perplexity | Entropy | Unique N-grams | Top-100 Coverage | Top-1000 Coverage |
+|--------|---------|------------|---------|----------------|------------------|-------------------|
+| **2-gram** | Word | 948 | 9.89 | 3,349 | 42.1% | 79.1% |
+| **2-gram** | Subword | 208 🏆 | 7.70 | 1,246 | 74.3% | 99.8% |
+| **3-gram** | Word | 2,018 | 10.98 | 5,257 | 30.2% | 67.0% |
+| **3-gram** | Subword | 1,378 | 10.43 | 7,944 | 35.9% | 79.6% |
+| **4-gram** | Word | 2,947 | 11.53 | 8,403 | 28.6% | 57.9% |
+| **4-gram** | Subword | 5,492 | 12.42 | 31,079 | 20.2% | 53.5% |
+| **5-gram** | Word | 1,994 | 10.96 | 5,965 | 34.1% | 63.8% |
+| **5-gram** | Subword | 12,282 | 13.58 | 57,462 | 14.5% | 40.7% |
+
+### Top 5 N-grams by Size
+
+**2-grams (Word):**
+
+| Rank | N-gram | Count |
+|------|--------|-------|
+| 1 | `ko e` | 4,790 |
+| 2 | `ʻi he` | 2,011 |
+| 3 | `ʻo e` | 1,405 |
+| 4 | `ʻa e` | 1,335 |
+| 5 | `mo e` | 1,134 |
+
+**3-grams (Word):**
+
+| Rank | N-gram | Count |
+|------|--------|-------|
+| 1 | `ʻi he ngaahi` | 431 |
+| 2 | `ko e fuʻu` | 383 |
+| 3 | `e fuʻu ʻakau` | 375 |
+| 4 | `hingoa ʻi he` | 341 |
+| 5 | `he ngaahi lea` | 336 |
+
+**4-grams (Word):**
+
+| Rank | N-gram | Count |
+|------|--------|-------|
+| 1 | `ko e fuʻu ʻakau` | 365 |
+| 2 | `ʻi he ngaahi lea` | 335 |
+| 3 | `he ngaahi lea kehe` | 331 |
+| 4 | `hingoa ʻi he ngaahi` | 328 |
+| 5 | `vaʻa fekumi ngoue vainī` | 309 |
+
+**5-grams (Word):**
+
+| Rank | N-gram | Count |
+|------|--------|-------|
+| 1 | `ʻi he ngaahi lea kehe` | 331 |
+| 2 | `hingoa ʻi he ngaahi lea` | 328 |
+| 3 | `hokohoko ngaahi ʻakau vaʻa fekumi` | 309 |
+| 4 | `ngaahi ʻakau vaʻa fekumi ngoue` | 309 |
+| 5 | `ʻakau vaʻa fekumi ngoue vainī` | 309 |
+
+**2-grams (Subword):**
+
+| Rank | N-gram | Count |
+|------|--------|-------|
+| 1 | `e _` | 28,242 |
+| 2 | `a _` | 24,953 |
+| 3 | `i _` | 22,182 |
+| 4 | `o _` | 19,549 |
+| 5 | `_ ʻ` | 19,509 |
+
+**3-grams (Subword):**
+
+| Rank | N-gram | Count |
+|------|--------|-------|
+| 1 | `_ e _` | 9,332 |
+| 2 | `n g a` | 8,789 |
+| 3 | `k o _` | 7,921 |
+| 4 | `h e _` | 7,566 |
+| 5 | `o _ e` | 7,505 |
+
+**4-grams (Subword):**
+
+| Rank | N-gram | Count |
+|------|--------|-------|
+| 1 | `o _ e _` | 7,450 |
+| 2 | `_ k o _` | 5,828 |
+| 3 | `k o _ e` | 4,823 |
+| 4 | `_ h e _` | 4,523 |
+| 5 | `_ ʻ i _` | 3,803 |
+
+**5-grams (Subword):**
+
+| Rank | N-gram | Count |
+|------|--------|-------|
+| 1 | `k o _ e _` | 4,799 |
+| 2 | `_ k o _ e` | 4,059 |
+| 3 | `i _ h e _` | 3,520 |
+| 4 | `_ f a k a` | 3,147 |
+| 5 | `ʻ o k u _` | 2,999 |
+
+
+### Key Findings
+
+- **Best Perplexity:** 2-gram (subword) with 208
+- **Entropy Trend:** Decreases with larger n-grams (more predictable)
+- **Coverage:** Top-1000 patterns cover ~41% of corpus
+- **Recommendation:** 4-gram or 5-gram for best predictive performance
+
+---
+## 3. Markov Chain Evaluation
+
+![Markov Entropy](visualizations/markov_entropy.png)
+
+![Markov Contexts](visualizations/markov_contexts.png)
+
+![Markov Branching](visualizations/markov_branching.png)
+
+### Results
+
+| Context | Variant | Avg Entropy | Perplexity | Branching Factor | Unique Contexts | Predictability |
+|---------|---------|-------------|------------|------------------|-----------------|----------------|
+| **1** | Word | 0.7580 | 1.691 | 4.11 | 15,572 | 24.2% |
+| **1** | Subword | 0.8923 | 1.856 | 6.74 | 432 | 10.8% |
+| **2** | Word | 0.2407 | 1.182 | 1.56 | 63,563 | 75.9% |
+| **2** | Subword | 0.9268 | 1.901 | 5.18 | 2,905 | 7.3% |
+| **3** | Word | 0.1088 | 1.078 | 1.20 | 98,178 | 89.1% |
+| **3** | Subword | 0.7964 | 1.737 | 3.51 | 15,009 | 20.4% |
+| **4** | Word | 0.0474 🏆 | 1.033 | 1.07 | 116,582 | 95.3% |
+| **4** | Subword | 0.5667 | 1.481 | 2.28 | 52,648 | 43.3% |
+
+### Generated Text Samples (Word-based)
+
+Below are text samples generated from each word-based Markov chain model:
+
+**Context Size 1:**
+
+1. `e limufonua ko e ʻakau kālava maʻa e ongo foha ʻo tonga land acts v l`
+2. `ko e vahe hihifo ʻo e meʻa kelekele mo e matalaʻiʻakau kula kuusi ko e lotu`
+3. `he ngaahi lau ʻoku mamaha ʻa ha alaufuli pea ʻoku ui foki ko e pī pea`
+
+**Context Size 2:**
+
+1. `ko e motuʻa feituʻu ʻi he talatupuʻa ʻo ʻahoʻeitu ʻi he taimi ni koeʻuhi ʻenau hiki ki`
+2. `ʻi he ngaahi lea kehe ʻara lea fakakuki kalabuci damu lea fakafisi pūrau lea fakatahisi hutu he`
+3. `ʻo e lea heliaki ko e matapā ʻeni tokua naʻe ʻomi ki tongá ni ʻi tongá ni`
+
+**Context Size 3:**
+
+1. `ʻi he ngaahi lea kehe tōmāti lea fakakuki lea fakatahisi ʻōhiʻa ma ka nahele lea fakahauaiʻi s pimpi...`
+2. `ko e fuʻu ʻakau lahi ia ʻoku tupu ofi ki he haʻamonga ʻa maui pupunga fetuʻu ko e`
+3. `e fuʻu ʻakau siʻi ia mei he ʻatamai ʻo māmani ʻa ia ʻoku hoko ai ʻa e ngaahi`
+
+**Context Size 4:**
+
+1. `ko e fuʻu ʻakau lahi ia mo e ngaahi ngeʻesi ʻelilivao ʻoku ui ko e nati foki ʻoku kulokula`
+2. `ʻi he ngaahi lea kehe mākeke lea fakahauaiʻi masitati kapisi lea fakahaʻamoa kāpati lea fakakuki pīn...`
+3. `he ngaahi lea kehe toua lea fakaniuē malina lea fakahaʻamoa rōpiāni piāni lea fakakuki tataku hokoho...`
+
+
+### Generated Text Samples (Subword-based)
+
+Below are text samples generated from each subword-based Markov chain model:
+
+**Context Size 1:**
+
+1. `_nofo_pue,_kae_b`
+2. `au,_hi_ngaʻau_i_`
+3. `ita_hi_ctowo_ʻot`
+
+**Context Size 2:**
+
+1. `e_ressia_motonga_`
+2. `a_kā_ku_meʻa,_por`
+3. `i_loquene,_va_‘e_`
+
+**Context Size 3:**
+
+1. `_e_pea._ko_e_ngaah`
+2. `ngaahi_aʻu._kolo_ʻ`
+3. `ko_hono_puʻangua_s`
+
+**Context Size 4:**
+
+1. `o_e_hine_taha_micro`
+2. `_ko_e_tuituitaha_ko`
+3. `ko_e_taha_kā_ko_e_h`
+
+
+### Key Findings
+
+- **Best Predictability:** Context-4 (word) with 95.3% predictability
+- **Branching Factor:** Decreases with context size (more deterministic)
+- **Memory Trade-off:** Larger contexts require more storage (52,648 contexts)
+- **Recommendation:** Context-3 or Context-4 for text generation
+
+---
+## 4. Vocabulary Analysis
+
+![Zipf's Law](visualizations/zipf_law.png)
+
+![Top Words](visualizations/top20_words.png)
+
+![Coverage Curve](visualizations/vocab_coverage.png)
+
+### Statistics
+
+| Metric | Value |
+|--------|-------|
+| Vocabulary Size | 6,787 |
+| Total Tokens | 149,227 |
+| Mean Frequency | 21.99 |
+| Median Frequency | 3 |
+| Frequency Std Dev | 193.13 |
+
+### Most Common Words
+
+| Rank | Word | Frequency |
+|------|------|-----------|
+| 1 | e | 9,737 |
+| 2 | ko | 7,170 |
+| 3 | he | 4,551 |
+| 4 | ʻi | 3,854 |
+| 5 | ʻo | 3,196 |
+| 6 | ʻoku | 2,983 |
+| 7 | ia | 2,271 |
+| 8 | ngaahi | 2,189 |
+| 9 | ʻa | 2,030 |
+| 10 | mo | 1,983 |
+
+### Least Common Words (from vocabulary)
+
+| Rank | Word | Frequency |
+|------|------|-----------|
+| 1 | fohi | 2 |
+| 2 | tekau | 2 |
+| 3 | fakapā | 2 |
+| 4 | fahaʻi | 2 |
+| 5 | mutumutu | 2 |
+| 6 | koká | 2 |
+| 7 | mahoaʻá | 2 |
+| 8 | kaí | 2 |
+| 9 | lauʻolungá | 2 |
+| 10 | folahi | 2 |
+
+### Zipf's Law Analysis
+
+| Metric | Value |
+|--------|-------|
+| Zipf Coefficient | 1.1311 |
+| R² (Goodness of Fit) | 0.992429 |
+| Adherence Quality | **excellent** |
+
+### Coverage Analysis
+
+| Top N Words | Coverage |
+|-------------|----------|
+| Top 100 | 56.6% |
+| Top 1,000 | 83.9% |
+| Top 5,000 | 97.6% |
+| Top 10,000 | 0.0% |
+
+### Key Findings
+
+- **Zipf Compliance:** R²=0.9924 indicates excellent adherence to Zipf's law
+- **High Frequency Dominance:** Top 100 words cover 56.6% of corpus
+- **Long Tail:** -3,213 words needed for remaining 100.0% coverage
+
+---
+## 5. Word Embeddings Evaluation
+
+![Embedding Isotropy](visualizations/embedding_isotropy.png)
+
+![Similarity Matrix](visualizations/embedding_similarity.png)
+
+![t-SNE Words](visualizations/tsne_words.png)
+
+![t-SNE Sentences](visualizations/tsne_sentences.png)
+
+
+### 5.1 Cross-Lingual Alignment
+
+![Alignment Quality](visualizations/embedding_alignment_quality.png)
+
+![Multilingual t-SNE](visualizations/embedding_tsne_multilingual.png)
+
+
+### 5.2 Model Comparison
+
+| Model | Dimension | Isotropy | Semantic Density | Alignment R@1 | Alignment R@10 |
+|-------|-----------|----------|------------------|---------------|----------------|
+| **mono_32d** | 32 | 0.1197 🏆 | 0.5003 | N/A | N/A |
+| **mono_64d** | 64 | 0.0193 | 0.5134 | N/A | N/A |
+| **mono_128d** | 128 | 0.0028 | 0.4946 | N/A | N/A |
+| **aligned_32d** | 32 | 0.1197 | 0.4991 | 0.0100 | 0.0900 |
+| **aligned_64d** | 64 | 0.0193 | 0.5081 | 0.0140 | 0.0980 |
+| **aligned_128d** | 128 | 0.0028 | 0.5043 | 0.0140 | 0.0920 |
+
+### Key Findings
+
+- **Best Isotropy:** mono_32d with 0.1197 (more uniform distribution)
+- **Semantic Density:** Average pairwise similarity of 0.5033. Lower values indicate better semantic separation.
+- **Alignment Quality:** Aligned models achieve up to 1.4% R@1 in cross-lingual retrieval.
+- **Recommendation:** 128d aligned for best cross-lingual performance
+
+---
+## 6.  Morphological Analysis (Experimental)
+
+This section presents an automated morphological analysis derived from the statistical divergence between word-level and subword-level models. By analyzing where subword predictability spikes and where word-level coverage fails, we can infer linguistic structures without supervised data.
+
+### 6.1 Productivity & Complexity
+
+| Metric | Value | Interpretation | Recommendation |
+|--------|-------|----------------|----------------|
+| Productivity Index | **5.000** | High morphological productivity | Reliable analysis |
+| Idiomaticity Gap | **0.569** | High formulaic/idiomatic content | - |
+
+### 6.2 Affix Inventory (Productive Units)
+
+These are the most productive prefixes and suffixes identified by sampling the vocabulary for global substitutability patterns. A unit is considered an affix if stripping it leaves a valid stem that appears in other contexts.
+
+#### Productive Prefixes
+| Prefix | Examples |
+|--------|----------|
+| `-t` | translation, totokamaka, tooi |
+| `-s` | seen, state, surely |
+| `-m` | mole, maʻamaʻa, menemene |
+| `-p` | parazoa, puna, palm |
+| `-ma` | maʻamaʻa, mamata, masipā |
+| `-f` | foo, fimbristylis, floribunda |
+| `-l` | lafalafa, laufale, longomapu |
+| `-k` | kākā, kelenatā, kakamika |
+
+#### Productive Suffixes
+| Suffix | Examples |
+|--------|----------|
+| `-a` | ʻekea, floribunda, maʻamaʻa |
+| `-i` | hui, tooi, tuki |
+| `-e` | mole, because, menemene |
+| `-u` | tatafu, longomapu, tāupoʻou |
+| `-s` | fimbristylis, berenices, occidentalis |
+| `-o` | foo, epikopo, sio |
+| `-ia` | pilitania, ʻaositelēlia, terminalia |
+| `-ga` | moʻunga, hengehenga, taunga |
+
+### 6.3 Bound Stems (Lexical Roots)
+
+Bound stems are high-frequency subword units that are semantically cohesive but rarely appear as standalone words. These often correspond to the 'core' of a word that requires inflection or derivation to be valid.
+
+| Stem | Cohesion | Substitutability | Examples |
+|------|----------|------------------|----------|
+| `akat` | 1.59x | 25 contexts | kakato, fakatu, fakatū |
+| `onga` | 1.41x | 25 contexts | konga, tonga, nonga |
+| `ngat` | 1.64x | 15 contexts | ngata, ngatú, ngatu |
+| `ʻang` | 1.66x | 12 contexts | ʻanga, paʻanga, hūʻanga |
+| `kata` | 1.53x | 15 contexts | katafa, fakatau, akataha |
+| `kala` | 1.38x | 19 contexts | kalae, kalasi, kakala |
+| `hing` | 1.53x | 13 contexts | thing, hinga, ahinga |
+| `ʻaka` | 1.71x | 8 contexts | ʻakau, ʻakaú, ʻakana |
+| `akah` | 1.56x | 10 contexts | fakahū, fakaha, fakahā |
+| `tata` | 1.49x | 11 contexts | tatau, tatafu, tatala |
+| `akal` | 1.48x | 11 contexts | kakala, fakalao, fakalau |
+| `ahin` | 1.48x | 10 contexts | vahine, ahinga, mahino |
+
+### 6.4 Affix Compatibility (Co-occurrence)
+
+This table shows which prefixes and suffixes most frequently co-occur on the same stems, revealing the 'stacking' rules of the language's morphology.
+
+| Prefix | Suffix | Frequency | Examples |
+|--------|--------|-----------|----------|
+| `-f` | `-a` | 152 words | floribunda, fukofuka |
+| `-t` | `-a` | 143 words | totokamaka, taunga |
+| `-f` | `-i` | 123 words | fakafefiofi, falevai |
+| `-m` | `-a` | 122 words | maʻamaʻa, moʻunga |
+| `-ʻ` | `-a` | 77 words | ʻekea, ʻalava |
+| `-t` | `-u` | 74 words | tatafu, tāupoʻou |
+| `-t` | `-i` | 70 words | tooi, tuki |
+| `-p` | `-a` | 66 words | parazoa, puna |
+| `-l` | `-a` | 64 words | lafalafa, laveʻimoa |
+| `-k` | `-a` | 52 words | kakamika, kulukona |
+
+### 6.5 Recursive Morpheme Segmentation
+
+Using **Recursive Hierarchical Substitutability**, we decompose complex words into their constituent morphemes. This approach handles nested affixes (e.g., `prefix-prefix-root-suffix`).
+
+| Word | Suggested Split | Confidence | Stem |
+|------|-----------------|------------|------|
+| ʻafilikani | **`ʻafilik-a-ni`** | 7.5 | `a` |
+| fetuʻutaki | **`fetuʻut-a-ki`** | 7.5 | `a` |
+| talafoʻou | **`ta-la-foʻou`** | 7.5 | `foʻou` |
+| fakataimi | **`fa-ka-taimi`** | 7.5 | `taimi` |
+| fehokotaki | **`fehokot-a-ki`** | 7.5 | `a` |
+| polotonga | **`po-lo-tonga`** | 7.5 | `tonga` |
+| sterninae | **`sternin-a-e`** | 7.5 | `a` |
+| christian | **`christi-a-n`** | 7.5 | `a` |
+| lauraceae | **`laurace-a-e`** | 7.5 | `a` |
+| siulolovao | **`siulolov-a-o`** | 7.5 | `a` |
+| vavalangi | **`va-va-langi`** | 7.5 | `langi` |
+| grossulariaceae | **`grossulariace-a-e`** | 7.5 | `a` |
+| fakakakai | **`fakakak-a-i`** | 7.5 | `a` |
+| matafanga | **`ma-ta-fanga`** | 7.5 | `fanga` |
+| afuhaʻapai | **`afuhaʻap-a-i`** | 7.5 | `a` |
+
+### 6.6 Linguistic Interpretation
+
+> **Automated Insight:**
+The language Tongan shows high morphological productivity. The subword models are significantly more efficient than word models, suggesting a rich system of affixation or compounding.
+
+> **Note on Idiomaticity:** The high Idiomaticity Gap suggests a large number of frequent multi-word expressions or formulaic sequences that are statistically distinct from their component parts.
+
+---
+## 7. Summary & Recommendations
+
+![Performance Dashboard](visualizations/performance_dashboard.png)
+
+### Production Recommendations
+
+| Component | Recommended | Rationale |
+|-----------|-------------|-----------|
+| Tokenizer | **32k BPE** | Best compression (3.50x) |
+| N-gram | **2-gram** | Lowest perplexity (208) |
+| Markov | **Context-4** | Highest predictability (95.3%) |
+| Embeddings | **100d** | Balanced semantic capture and isotropy |
+
+
+---
+## Appendix: Metrics Glossary & Interpretation Guide
+
+This section provides definitions, intuitions, and guidance for interpreting the metrics used throughout this report.
+
+### Tokenizer Metrics
+
+**Compression Ratio**
+> *Definition:* The ratio of characters to tokens (chars/token). Measures how efficiently the tokenizer represents text.
+>
+> *Intuition:* Higher compression means fewer tokens needed to represent the same text, reducing sequence lengths for downstream models. A 3x compression means ~3 characters per token on average.
+>
+> *What to seek:* Higher is generally better for efficiency, but extremely high compression may indicate overly aggressive merging that loses morphological information.
+
+**Average Token Length (Fertility)**
+> *Definition:* Mean number of characters per token produced by the tokenizer.
+>
+> *Intuition:* Reflects the granularity of tokenization. Longer tokens capture more context but may struggle with rare words; shorter tokens are more flexible but increase sequence length.
+>
+> *What to seek:* Balance between 2-5 characters for most languages. Arabic/morphologically-rich languages may benefit from slightly longer tokens.
+
+**Unknown Token Rate (OOV Rate)**
+> *Definition:* Percentage of tokens that map to the unknown/UNK token, indicating words the tokenizer cannot represent.
+>
+> *Intuition:* Lower OOV means better vocabulary coverage. High OOV indicates the tokenizer encounters many unseen character sequences.
+>
+> *What to seek:* Below 1% is excellent; below 5% is acceptable. BPE tokenizers typically achieve very low OOV due to subword fallback.
+
+### N-gram Model Metrics
+
+**Perplexity**
+> *Definition:* Measures how "surprised" the model is by test data. Mathematically: 2^(cross-entropy). Lower values indicate better prediction.
+>
+> *Intuition:* If perplexity is 100, the model is as uncertain as if choosing uniformly among 100 options at each step. A perplexity of 10 means effectively choosing among 10 equally likely options.
+>
+> *What to seek:* Lower is better. Perplexity decreases with larger n-grams (more context). Values vary widely by language and corpus size.
+
+**Entropy**
+> *Definition:* Average information content (in bits) needed to encode the next token given the context. Related to perplexity: perplexity = 2^entropy.
+>
+> *Intuition:* High entropy means high uncertainty/randomness; low entropy means predictable patterns. Natural language typically has entropy between 1-4 bits per character.
+>
+> *What to seek:* Lower entropy indicates more predictable text patterns. Entropy should decrease as n-gram size increases.
+
+**Coverage (Top-K)**
+> *Definition:* Percentage of corpus occurrences explained by the top K most frequent n-grams.
+>
+> *Intuition:* High coverage with few patterns indicates repetitive/formulaic text; low coverage suggests diverse vocabulary usage.
+>
+> *What to seek:* Depends on use case. For language modeling, moderate coverage (40-60% with top-1000) is typical for natural text.
+
+### Markov Chain Metrics
+
+**Average Entropy**
+> *Definition:* Mean entropy across all contexts, measuring average uncertainty in next-word prediction.
+>
+> *Intuition:* Lower entropy means the model is more confident about what comes next. Context-1 has high entropy (many possible next words); Context-4 has low entropy (few likely continuations).
+>
+> *What to seek:* Decreasing entropy with larger context sizes. Very low entropy (<0.1) indicates highly deterministic transitions.
+
+**Branching Factor**
+> *Definition:* Average number of unique next tokens observed for each context.
+>
+> *Intuition:* High branching = many possible continuations (flexible but uncertain); low branching = few options (predictable but potentially repetitive).
+>
+> *What to seek:* Branching factor should decrease with context size. Values near 1.0 indicate nearly deterministic chains.
+
+**Predictability**
+> *Definition:* Derived metric: (1 - normalized_entropy) × 100%. Indicates how deterministic the model's predictions are.
+>
+> *Intuition:* 100% predictability means the next word is always certain; 0% means completely random. Real text falls between these extremes.
+>
+> *What to seek:* Higher predictability for text generation quality, but too high (>98%) may produce repetitive output.
+
+### Vocabulary & Zipf's Law Metrics
+
+**Zipf's Coefficient**
+> *Definition:* The slope of the log-log plot of word frequency vs. rank. Zipf's law predicts this should be approximately -1.
+>
+> *Intuition:* A coefficient near -1 indicates the corpus follows natural language patterns where a few words are very common and most words are rare.
+>
+> *What to seek:* Values between -0.8 and -1.2 indicate healthy natural language distribution. Deviations may suggest domain-specific or artificial text.
+
+**R² (Coefficient of Determination)**
+> *Definition:* Measures how well the linear fit explains the frequency-rank relationship. Ranges from 0 to 1.
+>
+> *Intuition:* R² near 1.0 means the data closely follows Zipf's law; lower values indicate deviation from expected word frequency patterns.
+>
+> *What to seek:* R² > 0.95 is excellent; > 0.99 indicates near-perfect Zipf adherence typical of large natural corpora.
+
+**Vocabulary Coverage**
+> *Definition:* Cumulative percentage of corpus tokens accounted for by the top N words.
+>
+> *Intuition:* Shows how concentrated word usage is. If top-100 words cover 50% of text, the corpus relies heavily on common words.
+>
+> *What to seek:* Top-100 covering 30-50% is typical. Higher coverage indicates more repetitive text; lower suggests richer vocabulary.
+
+### Word Embedding Metrics
+
+**Isotropy**
+> *Definition:* Measures how uniformly distributed vectors are in the embedding space. Computed as the ratio of minimum to maximum singular values.
+>
+> *Intuition:* High isotropy (near 1.0) means vectors spread evenly in all directions; low isotropy means vectors cluster in certain directions, reducing expressiveness.
+>
+> *What to seek:* Higher isotropy generally indicates better-quality embeddings. Values > 0.1 are reasonable; > 0.3 is good. Lower-dimensional embeddings tend to have higher isotropy.
+
+**Average Norm**
+> *Definition:* Mean magnitude (L2 norm) of word vectors in the embedding space.
+>
+> *Intuition:* Indicates the typical "length" of vectors. Consistent norms suggest stable training; high variance may indicate some words are undertrained.
+>
+> *What to seek:* Relatively consistent norms across models. The absolute value matters less than consistency (low std deviation).
+
+**Cosine Similarity**
+> *Definition:* Measures angular similarity between vectors, ranging from -1 (opposite) to 1 (identical direction).
+>
+> *Intuition:* Words with similar meanings should have high cosine similarity. This is the standard metric for semantic relatedness in embeddings.
+>
+> *What to seek:* Semantically related words should score > 0.5; unrelated words should be near 0. Synonyms often score > 0.7.
+
+**t-SNE Visualization**
+> *Definition:* t-Distributed Stochastic Neighbor Embedding - a dimensionality reduction technique that preserves local structure for visualization.
+>
+> *Intuition:* Clusters in t-SNE plots indicate groups of semantically related words. Spread indicates vocabulary diversity; tight clusters suggest semantic coherence.
+>
+> *What to seek:* Meaningful clusters (e.g., numbers together, verbs together). Avoid over-interpreting distances - t-SNE preserves local, not global, structure.
+
+### General Interpretation Guidelines
+
+1. **Compare within model families:** Metrics are most meaningful when comparing models of the same type (e.g., 8k vs 64k tokenizer).
+2. **Consider trade-offs:** Better performance on one metric often comes at the cost of another (e.g., compression vs. OOV rate).
+3. **Context matters:** Optimal values depend on downstream tasks. Text generation may prioritize different metrics than classification.
+4. **Corpus influence:** All metrics are influenced by corpus characteristics. Wikipedia text differs from social media or literature.
+5. **Language-specific patterns:** Morphologically rich languages (like Arabic) may show different optimal ranges than analytic languages.
+
+
+### Visualizations Index
+
+| Visualization | Description |
+|---------------|-------------|
+| Tokenizer Compression | Compression ratios by vocabulary size |
+| Tokenizer Fertility | Average token length by vocabulary |
+| Tokenizer OOV | Unknown token rates |
+| Tokenizer Total Tokens | Total tokens by vocabulary |
+| N-gram Perplexity | Perplexity by n-gram size |
+| N-gram Entropy | Entropy by n-gram size |
+| N-gram Coverage | Top pattern coverage |
+| N-gram Unique | Unique n-gram counts |
+| Markov Entropy | Entropy by context size |
+| Markov Branching | Branching factor by context |
+| Markov Contexts | Unique context counts |
+| Zipf's Law | Frequency-rank distribution with fit |
+| Vocab Frequency | Word frequency distribution |
+| Top 20 Words | Most frequent words |
+| Vocab Coverage | Cumulative coverage curve |
+| Embedding Isotropy | Vector space uniformity |
+| Embedding Norms | Vector magnitude distribution |
+| Embedding Similarity | Word similarity heatmap |
+| Nearest Neighbors | Similar words for key terms |
+| t-SNE Words | 2D word embedding visualization |
+| t-SNE Sentences | 2D sentence embedding visualization |
+| Position Encoding | Encoding method comparison |
+| Model Sizes | Storage requirements |
+| Performance Dashboard | Comprehensive performance overview |
+
+---
+## About This Project
+
+### Data Source
+
+Models trained on [wikipedia-monthly](https://huggingface.co/datasets/omarkamali/wikipedia-monthly) - a monthly snapshot of Wikipedia articles across 300+ languages.
+
+### Project
+
+A project by **[Wikilangs](https://wikilangs.org)** - Open-source NLP models for every Wikipedia language.
+
+### Maintainer
+
+[Omar Kamali](https://omarkamali.com) - [Omneity Labs](https://omneitylabs.com)
+
+### Citation
+
+If you use these models in your research, please cite:
+
+```bibtex
+@misc{wikilangs2025,
+  author = {Kamali, Omar},
+  title = {Wikilangs: Open NLP Models for Wikipedia Languages},
+  year = {2025},
+  doi = {10.5281/zenodo.18073153},
+  publisher = {Zenodo},
+  url = {https://huggingface.co/wikilangs}
+  institution = {Omneity Labs}
+}
+```
+
+### License
+
+MIT License - Free for academic and commercial use.
+
+### Links
+
+- 🌐 Website: [wikilangs.org](https://wikilangs.org)
+- 🤗 Models: [huggingface.co/wikilangs](https://huggingface.co/wikilangs)
+- 📊 Data: [wikipedia-monthly](https://huggingface.co/datasets/omarkamali/wikipedia-monthly)
+- 👤 Author: [Omar Kamali](https://huggingface.co/omarkamali)
+- 🤝 Sponsor: [Featherless AI](https://featherless.ai)
+---
+*Generated by Wikilangs Models Pipeline*
+
+*Report Date: 2026-01-11 01:22:47*
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+▁teaupa	-7207
+▁tefisi	-7208
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+▁tāuini	-7218
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+▁tōketā	-7220
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+▁uonoku	-7224
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+amautolu	-7228
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+▁fehanga	-7283
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+▁leimātu	-7310
+▁lekooti	-7311
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+▁lolohea	-7314
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+▁malēsia	-7320
+▁mamange	-7321
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+▁mfuoloa	-7325
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+▁mātanga	-7329
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+▁fehokotaki	-7591
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+▁kolonitini	-7602
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+malacostraca	-7632
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+▁faingamālie	-7640
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+▁fakamatelie	-7642
+▁fakaongosia	-7643
+▁fakasosiale	-7644
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+▁freycinetia	-7646
+▁halatoaongo	-7647
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+▁predecessor	-7657
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+afikānisitani	-7660
+aposetolopulū	-7661
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+▁brasiliensis	-7664
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+▁fakatupulaki	-7667
+▁fanongonongo	-7668
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+▁kalonikakala	-7670
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+▁kumukumutahi	-7672
+▁lakisemipeki	-7673
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+▁paleinangalu	-7675
+▁pedunculatum	-7676
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+actinopterygii	-7681
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+▁fakalotofonuá	-7687
+▁fakamangareva	-7688
+▁fehangahangai	-7689
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+▁fakafulutāmakia	-7697
+▁fanakavakilangi	-7698
+▁novaehollandiae	-7699
+▁pseuderanthemum	-7700
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+اد	-7702
+ور	-7703
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+bua	-7706
+chr	-7707
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+cke	-7709
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+ivi	-7716
+ogg	-7717
+oji	-7718
+peo	-7719
+puu	-7720
+raj	-7721
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+▁vaitupu	-10130
+▁vanilla	-10131
+▁vaotātā	-10132
+▁vetiver	-10133
+▁villosa	-10134
+▁visible	-10135
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+▁website	-10137
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+▁wounded	-10139
+▁україна	-10140
+afilikani	-10141
+alakipeau	-10142
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+atelanika	-10144
+benincasa	-10145
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+mosekisua	-10173
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+usneaceae	-10179
+ēkehekehe	-10180
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+▁amicorum	-10184
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+▁angoango	-10186
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+▁aotealoa	-10188
+▁aouliuli	-10189
+▁arboreus	-10190
+▁aristata	-10191
+▁augustum	-10192
+▁bandeira	-10193
+▁baptised	-10194
+▁baptiste	-10195
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+▁borealis	-10198
+▁botebote	-10199
+▁caribaea	-10200
+▁catholic	-10201
+▁chiefess	-10202
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+▁coalsack	-10204
+▁coccinea	-10205
+▁colloqui	-10206
+▁critical	-10207
+▁discolor	-10208
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+▁dolichos	-10210
+▁dracaena	-10211
+▁economic	-10212
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+▁ensifera	-10214
+▁eswatini	-10215
+▁fahitalo	-10216
+▁fakafale	-10217
+▁fakahake	-10218
+▁fakaholo	-10219
+▁fakakonā	-10220
+▁fakamama	-10221
+▁fakamanu	-10222
+▁fakaniua	-10223
+▁fakasino	-10224
+▁fakatava	-10225
+▁fakateki	-10226
+▁fakatohi	-10227
+▁fakatāfu	-10228
+▁fakavahe	-10229
+▁fanamanu	-10230
+▁favoured	-10231
+▁fiemālie	-10232
+▁fisihina	-10233
+▁fokulani	-10234
+▁frondosa	-10235
+▁funafuti	-10236
+▁fōlalahi	-10237
+▁gardenia	-10238
+▁geophila	-10239
+▁gigantea	-10240
+▁gracilis	-10241
+▁grossula	-10242
+▁hamilton	-10243
+▁hekitale	-10244
+▁hikihiki	-10245
+▁hikuhiku	-10246
+▁hilamani	-10247
+▁holiness	-10248
+▁hrvatska	-10249
+▁ikunonou	-10250
+▁indicate	-10251
+▁inspired	-10252
+▁jatropha	-10253
+▁jussiaea	-10254
+▁kakamika	-10255
+▁kalabuci	-10256
+▁kalasini	-10257
+▁kameluni	-10258
+▁kasitile	-10259
+▁kihikihí	-10260
+▁kilikili	-10261
+▁kilisitō	-10262
+▁kolinitō	-10263
+▁komolosi	-10264
+▁konikoni	-10265
+▁kākālavā	-10266
+▁lafalafa	-10267
+▁lahelahe	-10268
+▁laukaupo	-10269
+▁leimātua	-10270
+▁lesisita	-10271
+▁lomipeau	-10272
+▁lotunofo	-10273
+▁lunulata	-10274
+▁maheilau	-10275
+▁maletile	-10276
+▁malofafa	-10277
+▁manutara	-10278
+▁masikona	-10279
+▁masitati	-10280
+▁matamata	-10281
+▁matamoho	-10282
+▁matataha	-10283
+▁melochia	-10284
+▁menemene	-10285
+▁merremia	-10286
+▁milkyway	-10287
+▁moeakihī	-10288
+▁moengālō	-10289
+▁mokohula	-10290
+▁mokomoko	-10291
+▁molesipī	-10292
+▁molofaha	-10293
+▁monarchy	-10294
+▁monument	-10295
+▁mountain	-10296
+▁msānuali	-10297
+▁mulikiha	-10298
+▁muramura	-10299
+▁national	-10300
+▁ngangatu	-10301
+▁nickname	-10302
+▁nokonoko	-10303
+▁normalis	-10304
+▁november	-10305
+▁nubecula	-10306
+▁nukonuka	-10307
+▁nukuleka	-10308
+▁nukupule	-10309
+▁nukutula	-10310
+▁nymphaea	-10311
+▁observed	-10312
+▁ofolanga	-10313
+▁oleander	-10314
+▁oleracea	-10315
+▁olosenga	-10316
+▁opposite	-10317
+▁oppositi	-10318
+▁overcame	-10319
+▁pacífico	-10320
+▁paingani	-10321
+▁pakistan	-10322
+▁palalafa	-10323
+▁palōfita	-10324
+▁papalagi	-10325
+▁paradisi	-10326
+▁peisingi	-10327
+▁phaethon	-10328
+▁physalis	-10329
+▁pinnatum	-10330
+▁pisinisi	-10331
+▁plumosus	-10332
+▁pregnant	-10333
+▁protista	-10334
+▁provided	-10335
+▁psilotum	-10336
+▁puakatau	-10337
+▁publicly	-10338
+▁pukapuka	-10339
+▁pulopula	-10340
+▁purpurea	-10341
+▁raintree	-10342
+▁raupohue	-10343
+▁released	-10344
+▁replaced	-10345
+▁republic	-10346
+▁reserved	-10347
+▁responsi	-10348
+▁rupestre	-10349
+▁saienesi	-10350
+▁sakesoni	-10351
+▁scaevola	-10352
+▁scandens	-10353
+▁secondly	-10354
+▁sefanaia	-10355
+▁senekalo	-10356
+▁sepitema	-10357
+▁services	-10358
+▁severily	-10359
+▁shandong	-10360
+▁simipapu	-10361
+▁siumafua	-10362
+▁sleeping	-10363
+▁smelling	-10364
+▁somewhat	-10365
+▁sosaieti	-10366
+▁spelling	-10367
+▁standard	-10368
+▁stellata	-10369
+▁sulauesi	-10370
+▁syriacus	-10371
+▁tafatofi	-10372
+▁tahitian	-10373
+▁taiamoni	-10374
+▁talatahi	-10375
+▁talatama	-10376
+▁talupite	-10377
+▁tamaligi	-10378
+▁tamaline	-10379
+▁tamatama	-10380
+▁tapahina	-10381
+▁tasmania	-10382
+▁template	-10383
+▁thevetia	-10384
+▁tokakovi	-10385
+▁tomokosi	-10386
+▁tongense	-10387
+▁tongotea	-10388
+▁tukumisi	-10389
+▁tuluvota	-10390
+▁tumetume	-10391
+▁tumutumu	-10392
+▁tupulaki	-10393
+▁tutuhina	-10394
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+▁vahavahe	-10397
+▁vahivahi	-10398
+▁vaingaue	-10399
+▁vakalepu	-10400
+▁vatikani	-10401
+▁verevere	-10402
+▁victoria	-10403
+▁vinicius	-10404
+▁whenever	-10405
+▁youngest	-10406
+▁zerumbet	-10407
+▁zingiber	-10408
+asteraceae	-10409
+ctenophora	-10410
+eitumātupu	-10411
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+fakamamahi	-10414
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+kalonikali	-10416
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+kongeriket	-10418
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+minjoniana	-10421
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+▁adenantha	-10431
+▁adventist	-10432
+▁ahisiaina	-10433
+▁alejandro	-10434
+▁americana	-10435
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+▁araucaria	-10438
+▁asiaticum	-10439
+▁atropurpu	-10440
+▁attackers	-10441
+▁authority	-10442
+▁bartramia	-10443
+▁berenices	-10444
+▁besuntado	-10445
+▁biography	-10446
+▁boerhavia	-10447
+▁brenchley	-10448
+▁bryophyta	-10449
+▁cambridge	-10450
+▁canavalia	-10451
+▁cascabela	-10452
+▁cellulose	-10453
+▁chenitaca	-10454
+▁chromista	-10455
+▁coastline	-10456
+▁collapsed	-10457
+▁commutata	-10458
+▁condemned	-10459
+▁contempor	-10460
+▁cordyline	-10461
+▁democracy	-10462
+▁describes	-10463
+▁desmodium	-10464
+▁diaphanum	-10465
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+▁domestica	-10468
+▁echinatus	-10469
+▁embryonal	-10470
+▁erythrina	-10471
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+▁extensive	-10473
+▁fakahinga	-10474
+▁fakapūloa	-10475
+▁fakataimi	-10476
+▁fakatapui	-10477
+▁faumalila	-10478
+▁foilifuka	-10479
+▁fonongava	-10480
+▁formation	-10481
+▁frederica	-10482
+▁freguesia	-10483
+▁fuesiaina	-10484
+▁fusipongi	-10485
+▁fīnauhuia	-10486
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+▁gossypium	-10489
+▁hakaufasi	-10490
+▁hangatonu	-10491
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+▁hedysarum	-10493
+▁hikifonua	-10494
+▁hirsutula	-10495
+▁hypolepis	-10496
+▁ikamāfana	-10497
+▁increased	-10498
+▁influence	-10499
+▁initially	-10500
+▁kalolaina	-10501
+▁kalolaine	-10502
+▁kaukauloa	-10503
+▁kiukamipā	-10504
+▁komiunitī	-10505
+▁lalofonua	-10506
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+▁lanulangi	-10508
+▁lautetele	-10509
+▁liliaceae	-10510
+▁lotofonua	-10511
+▁lototenga	-10512
+▁macarthur	-10513
+▁makakoloa	-10514
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+▁maldivian	-10516
+▁malomaloa	-10517
+▁marchanti	-10518
+▁meanwhile	-10519
+▁melastoma	-10520
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+▁pakimoeto	-10532
+▁palāsilia	-10533
+▁patalione	-10534
+▁peninsula	-10535
+▁polinesia	-10536
+▁polotonga	-10537
+▁polynésie	-10538
+▁populated	-10539
+▁porphyrio	-10540
+▁potungāue	-10541
+▁puakatoro	-10542
+▁pulukalia	-10543
+▁rarotonga	-10544
+▁reference	-10545
+▁salvation	-10546
+▁sapientum	-10547
+▁secondary	-10548
+▁september	-10549
+▁shellfish	-10550
+▁significa	-10551
+▁silovakia	-10552
+▁silovākia	-10553
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+▁stipulosa	-10558
+▁tamaitaha	-10559
+▁tephrosia	-10560
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+▁tinctoria	-10562
+▁toafūnaki	-10563
+▁tokaikolo	-10564
+▁tomentosa	-10565
+▁tradition	-10566
+▁tualatala	-10567
+▁tuingaika	-10568
+▁tukufolau	-10569
+▁tukuikolo	-10570
+▁tungīmāna	-10571
+▁turpethum	-10572
+▁valenisia	-10573
+▁variegata	-10574
+▁vietināmi	-10575
+▁waistband	-10576
+cknowledged	-10577
+connaraceae	-10578
+dicranaceae	-10579
+kalisitiane	-10580
+olanesitati	-10581
+ulukihelupe	-10582
+ulukivaiola	-10583
+uēlingatoni	-10584
+▁accordance	-10585
+▁acutifolia	-10586
+▁addressing	-10587
+▁aesthetics	-10588
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+▁ahikaulolo	-10590
+▁anaethetus	-10591
+▁apparently	-10592
+▁astronomer	-10593
+▁australian	-10594
+▁autumnalis	-10595
+▁biologists	-10596
+▁breadfruit	-10597
+▁brugmansia	-10598
+▁buchananii	-10599
+▁cassiopeia	-10600
+▁cherimolia	-10601
+▁christians	-10602
+▁cinnamomum	-10603
+▁clusiaceae	-10604
+▁commanding	-10605
+▁commercial	-10606
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+▁consisting	-10609
+▁cordifolia	-10610
+▁cymbopogon	-10611
+▁democratic	-10612
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+▁domesticus	-10614
+▁ecosystems	-10615
+▁ensiformis	-10616
+▁esculentus	-10617
+▁fakafalala	-10618
+▁fakafefine	-10619
+▁fakafepaki	-10620
+▁fakafāmili	-10621
+▁fakahounga	-10622
+▁fakakālisi	-10623
+▁fakamafola	-10624
+▁fakamalohi	-10625
+▁fakamamafa	-10626
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+▁fakamavahe	-10628
+▁fakamālohi	-10629
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+▁fakapipiki	-10632
+▁fakapoongi	-10633
+▁falefakauō	-10634
+▁falemahaki	-10635
+▁fefakavaha	-10636
+▁filomatolu	-10637
+▁fuifuilupe	-10638
+▁fātungaloa	-10639
+▁gibberosum	-10640
+▁guttiferae	-10641
+▁hengehenga	-10642
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+▁hesikōvina	-10644
+▁hinaekiaki	-10645
+▁hispidulum	-10646
+▁hongohongo	-10647
+▁kalonikali	-10648
+▁kavaefiafi	-10649
+▁kominiueli	-10650
+▁konetikati	-10651
+▁kulinilani	-10652
+▁kōviriviri	-10653
+▁lanufiofio	-10654
+▁lekaumoana	-10655
+▁liliopsida	-10656
+▁linggensis	-10657
+▁lātūnipulu	-10658
+▁macroptera	-10659
+▁mahaloloto	-10660
+▁malativisi	-10661
+▁matakasika	-10662
+▁mavaetangi	-10663
+▁mokomokotu	-10664
+▁mongomonga	-10665
+▁mosēmipiki	-10666
+▁navigation	-10667
+▁ngalingali	-10668
+▁nginingini	-10669
+▁oceanfront	-10670
+▁originated	-10671
+▁paniculata	-10672
+▁phaeophyta	-10673
+▁pilinisipe	-10674
+▁polofifisi	-10675
+▁portuguesa	-10676
+▁primordial	-10677
+▁princesses	-10678
+▁procumbens	-10679
+▁ptilinopus	-10680
+▁quadrupeds	-10681
+▁queensland	-10682
+▁ramiflorum	-10683
+▁recognised	-10684
+▁reflective	-10685
+▁remarkable	-10686
+▁representa	-10687
+▁rhodophyta	-10688
+▁rhomboidea	-10689
+▁rutherford	-10690
+▁scutellari	-10691
+▁securinega	-10692
+▁situlōpeli	-10693
+▁smothering	-10694
+▁tamarumaru	-10695
+▁taufatofua	-10696
+▁taungapeka	-10697
+▁telekivava	-10698
+▁tenuifolia	-10699
+▁tongatonga	-10700
+▁tongotongo	-10701
+▁totokamaka	-10702
+▁trifoliata	-10703
+▁triumfetta	-10704
+▁tuaikaepau	-10705
+▁tubiflorum	-10706
+▁umbellatum	-10707
+▁österreich	-10708
+akulukilangi	-10709
+alaivahamama	-10710
+coelenterata	-10711
+lejeuneaceae	-10712
+planchonella	-10713
+protostomata	-10714
+ulukilupetea	-10715
+▁alternative	-10716
+▁amboinensis	-10717
+▁angiopteris	-10718
+▁appointment	-10719
+▁aristocracy	-10720
+▁caesalpinia	-10721
+▁callophylum	-10722
+▁calyculatus	-10723
+▁chamissonis	-10724
+▁chlorophyll	-10725
+▁chlorophyta	-10726
+▁cladosiphon	-10727
+▁collinsiana	-10728
+▁convolvulus	-10729
+▁crownprince	-10730
+▁cryptocarya	-10731
+▁declaration	-10732
+▁degenerated	-10733
+▁deutschland	-10734
+▁distinguish	-10735
+▁effectively	-10736
+▁faikehekehe	-10737
+▁fakaenatula	-10738
+▁fakafeangai	-10739
+▁fakafefiofi	-10740
+▁fakakolonia	-10741
+▁fakalapanui	-10742
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+▁fakamakaafi	-10744
+▁fakavāhenga	-10745
+▁fonongahina	-10746
+▁fonuamamala	-10747
+▁fuanunuiava	-10748
+▁grandiflora	-10749
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+▁gymnosporia	-10751
+▁halatuituia	-10752
+▁helesingikī	-10753
+▁hāhāmolofia	-10754
+▁institution	-10755
+▁jellyfishes	-10756
+▁kanititeiti	-10757
+▁kaungāfonua	-10758
+▁langitoutai	-10759
+▁lautalotalo	-10760
+▁lātūteovave	-10761
+▁lātūtoevave	-10762
+▁malaccensis	-10763
+▁membranacea	-10764
+▁microphylla	-10765
+▁mohemolanga	-10766
+▁navelstring	-10767
+▁neisosperma	-10768
+▁obtusifolia	-10769
+▁pedilanthus	-10770
+▁psilopetala	-10771
+▁rhombifolia	-10772
+▁santaloides	-10773
+▁sumatrensis	-10774
+▁taumafakava	-10775
+▁tekinolosia	-10776
+▁telekitonga	-10777
+▁tesalonaika	-10778
+▁tetraphylla	-10779
+▁totokafonua	-10780
+▁tulikihakau	-10781
+▁uasingatoni	-10782
+▁vasconcelos	-10783
+cucurbitaceae	-10784
+gnathostomata	-10785
+hernandiaceae	-10786
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+pteridosperma	-10788
+sterculiaceae	-10789
+tokelauhahake	-10790
+zingiberaceae	-10791
+▁caryophyllus	-10792
+▁commissioner	-10793
+▁construction	-10794
+▁corynocarpus	-10795
+▁fakaetangata	-10796
+▁fakahokohoko	-10797
+▁fakamelomelo	-10798
+▁fakamolemole	-10799
+▁fakapikopiko	-10800
+▁fakapisinisi	-10801
+▁fakatoukatea	-10802
+▁fakpilitānia	-10803
+▁faletuipapai	-10804
+▁fimbristylis	-10805
+▁funakitoutai	-10806
+▁gallicolumba	-10807
+▁hypericaceae	-10808
+▁installation	-10809
+▁kafoamotalau	-10810
+▁kaluafotonga	-10811
+▁kavahuhutahi	-10812
+▁kavahuhuveli	-10813
+▁kolosalusalu	-10814
+▁lanukulokula	-10815
+▁makahokovalú	-10816
+▁matapekepeka	-10817
+▁misschievous	-10818
+▁missionaries	-10819
+▁monitenikalo	-10820
+▁māhinafekite	-10821
+▁navigational	-10822
+▁neighbouring	-10823
+▁niukaletonia	-10824
+▁organisation	-10825
+▁pekepekātama	-10826
+▁protostomata	-10827
+▁sitokiholimi	-10828
+▁spodiopygius	-10829
+▁superciliosa	-10830
+▁talakaifaiki	-10831
+▁tautautefito	-10832
+▁tenuirostris	-10833
+▁tongamohenoa	-10834
+▁uonukuhahake	-10835
+▁uonukuhihifo	-10836
+▁vakalahimohe	-10837
+chondrichthyes	-10838
+elaeocarpaceae	-10839
+lycopodiophyta	-10840
+ngalingalikehe	-10841
+▁administrator	-10842
+▁australasicum	-10843
+▁clusiaefolium	-10844
+▁collaboration	-10845
+▁cyanobacteria	-10846
+▁environmental	-10847
+▁euphorbiaceae	-10848
+▁fakapilitania	-10849
+▁fakatautoitoi	-10850
+▁grandchildren	-10851
+▁investigation	-10852
+▁lanumatamaama	-10853
+▁mafatakikoula	-10854
+▁ongoongolelei	-10855
+▁protasparagus	-10856
+▁reinwardtiana	-10857
+▁schizopetalus	-10858
+▁simplicifolia	-10859
+▁sphaeropteris	-10860
+▁tokelauhihifo	-10861
+▁unfortunately	-10862
+▁angafakamamahi	-10863
+▁characteristic	-10864
+▁chromalveolata	-10865
+▁fakatemokalati	-10866
+▁fatukimotulalo	-10867
+▁mapatongiamanu	-10868
+▁moerenhoutiana	-10869
+▁phyllanthaceae	-10870
+▁pungakaitafola	-10871
+ifanakavakilangi	-10872
+▁daigremontianum	-10873
+▁fakafaikehekehe	-10874
+▁fakahomosekisua	-10875
+▁likitenisitaini	-10876
+▁marchantiophyta	-10877
+▁monocotyledones	-10878
+▁representatives	-10879
+▁scutellarioides	-10880
+afr	-10881
+iyl	-10882
+zhō	-10883
+ару	-10884
+гар	-10885
+ної	-10886
+וקי	-10887
+ינו	-10888
+יקי	-10889
+عود	-10890
+غرب	-10891
+وري	-10892
+ويت	-10893
+▁ŋŋ	-10894
+▁бе	-10895
+▁ср	-10896
+▁با	-10897
+afrî	-10898
+bbed	-10899
+xpf	-10900
+يبو	-10901
+▁пі	-10902
+bnan	-10903
+cuia	-10904
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+hiná	-10906
+holm	-10907
+jobi	-10908
+mūrī	-10909
+nití	-10910
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+ukra	-10916
+wnut	-10917
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+ītiō	-10920
+бија	-10921
+вики	-10922
+ерна	-10923
+инез	-10924
+кист	-10925
+нної	-10926
+нськ	-10927
+педі	-10928
+تونس	-10929
+ودان	-10930
+يبوت	-10931
+▁méi	-10932
+▁tür	-10933
+▁vhs	-10934
+▁yuk	-10935
+▁мов	-10936
+▁пів	-10937
+▁بال	-10938
+again	-10939
+basci	-10940
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+edade	-10944
+field	-10945
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+lkara	-10951
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+obito	-10960
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+педія	-10987
+ської	-10988
+عودية	-10989
+يبوتي	-10990
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+▁flax	-10993
+▁flex	-10994
+▁gurg	-10995
+▁jean	-10996
+▁jien	-10997
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+▁nūnū	-10999
+clet	-11000
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+odoro	-11020
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+▁القم	-11037
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+▁موري	-11039
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+??,	-11100
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+bānlā	-11117
+rākau	-11118
+مارات	-11119
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+àìjírí	-11183
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+וקיינו	-11188
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+▁basic	-11193
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+▁blech	-11197
+▁bleek	-11198
+▁blume	-11199
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+▁gawl	-11202
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+ызстан	-11204
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+▁cassy	-11206
+▁conyz	-11207
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+▁dacty	-11210
+▁dicty	-11211
+▁driti	-11212
+▁droud	-11213
+▁dunne	-11214
+▁emerg	-11215
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+▁faivá	-11217
+▁finan	-11218
+▁finla	-11219
+▁fkfuo	-11220
+▁footb	-11221
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+▁koroi	-11225
+▁kuiní	-11226
+▁kōmak	-11227
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+▁liech	-11229
+▁macbr	-11230
+▁macou	-11231
+▁mageo	-11232
+▁mavua	-11233
+▁midni	-11234
+▁mogha	-11235
+▁mokae	-11236
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+▁noreg	-11238
+▁norsk	-11239
+▁ocagi	-11240
+▁olivi	-11241
+▁olove	-11242
+▁pedic	-11243
+▁pelta	-11244
+▁piece	-11245
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+▁poets	-11247
+▁pygma	-11248
+▁reint	-11249
+▁renow	-11250
+▁saarc	-11251
+▁stepb	-11252
+▁style	-11253
+▁sūdān	-11254
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+▁todos	-11256
+▁tomás	-11257
+▁trunk	-11258
+▁tubua	-11259
+▁urody	-11260
+▁vauva	-11261
+▁verdc	-11262
+▁write	-11263
+▁wāwae	-11264
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+▁yukon	-11266
+▁zimba	-11267
+▁ūmana	-11268
+▁косов	-11269
+▁молда	-11270
+▁العرا	-11271
+▁القمر	-11272
+▁بالغة	-11273
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+agnatha	-11275
+akaveka	-11276
+akikihi	-11277
+alakoni	-11278
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+angahuo	-11280
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+asikara	-11282
+atēvolo	-11283
+avallia	-11284
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+bivores	-11287
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+culifor	-11291
+currant	-11292
+dentata	-11293
+descrip	-11294
+diantum	-11295
+dynamys	-11296
+ekiston	-11297
+elekitu	-11298
+emipola	-11299
+īnj	-11300
+xīnj	-11301
+ongio	-11302
+ptian	-11303
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+uekui	-11305
+xīnjā	-11306
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+▁garb	-11309
+▁pitō	-11310
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+palema	-11315
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+perien	-11317
+ropean	-11318
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+ларусь	-11320
+▁antho	-11321
+▁crabs	-11322
+▁cuspi	-11323
+▁custa	-11324
+▁elder	-11325
+▁kāimu	-11326
+▁naiti	-11327
+▁nutme	-11328
+▁ouaua	-11329
+▁schmi	-11330
+▁scind	-11331
+▁uluhe	-11332
+▁veape	-11333
+enneman	-11334
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+fetuani	-11336
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+ginalis	-11338
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+govanua	-11340
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+hinhaea	-11344
+hungalu	-11345
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+ifefine	-11347
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+insecta	-11350
+jubilee	-11351
+kafatau	-11352
+ksbeard	-11353
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+lidated	-11356
+lophila	-11357
+lowiana	-11358
+makarau	-11359
+manghas	-11360
+mapitoa	-11361
+meriana	-11362
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+mipiuta	-11364
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+ntagord	-11370
+okalaho	-11371
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+otolose	-11374
+otumapa	-11375
+painted	-11376
+palefau	-11377
+palemia	-11378
+partita	-11379
+pectata	-11380
+pedalis	-11381
+philono	-11382
+picture	-11383
+ppening	-11384
+quished	-11385
+raymond	-11386
+rhynchi	-11387
+rididae	-11388
+roscope	-11389
+saipale	-11390
+seventh	-11391
+stachya	-11392
+tabilis	-11393
+thedlav	-11394
+tigonii	-11395
+tremily	-11396
+ulupoko	-11397
+vanilly	-11398
+vendish	-11399
+ahema	-11400
+cardo	-11401
+uchus	-11402
+unehu	-11403
+yncho	-11404
+▁nyno	-11405
+▁rozi	-11406
+▁swap	-11407
+▁swit	-11408
+▁vudi	-11409
+▁vuga	-11410
+ancing	-11411
+avaiki	-11412
+collis	-11413
+falaoa	-11414
+foiiki	-11415
+fānifo	-11416
+hemaia	-11417
+lihema	-11418
+llista	-11419
+marily	-11420
+marine	-11421
+nabara	-11422
+nikale	-11423
+ridamu	-11424
+rumari	-11425
+tocard	-11426
+▁akaka	-11427
+▁meāku	-11428
+anomura	-11429
+deralis	-11430
+hiuchus	-11431
+hynchus	-11432
+moreton	-11433
+ngikale	-11434
+okamura	-11435
+usiness	-11436
+venient	-11437
+verends	-11438
+wapuata	-11439
+weeping	-11440
+wentwor	-11441
+worthii	-11442
+xagonia	-11443
+àìjíríà	-11444
+êafrîka	-11445
+гызстан	-11446
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+▁allies	-11449
+▁ananas	-11450
+▁anemon	-11451
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+▁arundo	-11455
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+▁autara	-11458
+▁bathed	-11459
+▁becuse	-11460
+▁belgië	-11461
+▁belief	-11462
+▁bottom	-11463
+▁branch	-11464
+▁brings	-11465
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+▁cacuia	-11468
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+▁charad	-11470
+▁chicks	-11471
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+▁colour	-11473
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+▁cristo	-11479
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+▁digest	-11481
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+▁domina	-11483
+▁double	-11484
+▁ecuato	-11485
+▁edirne	-11486
+▁eighth	-11487
+▁eriger	-11488
+▁errors	-11489
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+▁fagafa	-11492
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+▁gahupā	-11497
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+▁gambia	-11499
+nzu	-11500
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+shoot	-11530
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+vvisá	-11535
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+▁hākea	-11562
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+▁labur	-11564
+▁leteo	-11565
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+▁marks	-11567
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+▁risen	-11569
+▁tūtae	-11570
+ccahill	-11571
+davvisá	-11572
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+▁mitiuē	-11640
+▁mokorā	-11641
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+▁mākole	-11650
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+▁naqala	-11654
+▁nassau	-11655
+▁nearby	-11656
+▁nephew	-11657
+▁nonsti	-11658
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+▁number	-11660
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+▁orange	-11664
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+▁paigan	-11666
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+▁pictum	-11670
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+▁pāpapa	-11678
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+▁radula	-11680
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+▁rememb	-11683
+▁remene	-11684
+▁result	-11685
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+▁rooted	-11687
+▁roseus	-11688
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+▁sagali	-11691
+▁sagasa	-11692
+▁sakiki	-11693
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+▁sefifi	-11695
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+▁sevile	-11697
+▁sierra	-11698
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+▁farang	-11725
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+▁mangka	-11728
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+▁pagopa	-11730
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+▁psydra	-11733
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+▁russia	-11735
+▁sikimi	-11736
+▁siosia	-11737
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+▁stanse	-11742
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+▁svizra	-11748
+▁sānele	-11749
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+▁tetrag	-11762
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+▁tinito	-11764
+▁togoto	-11765
+▁toloke	-11766
+▁tolēto	-11767
+▁torric	-11768
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+▁tuakiu	-11771
+▁tuiavi	-11772
+▁tāporo	-11773
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+▁vauvau	-11779
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+▁viewed	-11781
+▁voivoi	-11782
+▁volume	-11783
+▁vorovo	-11784
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+▁wadamu	-11786
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+▁yaqona	-11789
+▁yearly	-11790
+▁монгол	-11791
+▁океана	-11792
+▁частин	-11793
+▁العراق	-11794
+▁جيبوتي	-11795
+aisilani	-11796
+akauveli	-11797
+albergia	-11798
+analysis	-11799
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+group	-11801
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+▁تونس	-11803
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+mplied	-11810
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+▁aculea	-11836
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+▁hulled	-11841
+▁kapuni	-11842
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+▁pōhiva	-11846
+▁sēpuni	-11847
+▁tavili	-11848
+▁thread	-11849
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+cikiston	-11860
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+hinehina	-11887
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+▁nebula	-11960
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+▁saulav	-11964
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+nifolius	-11989
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+norrhiza	-11991
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+nōfoliki	-11995
+onagasri	-11996
+otaheite	-11997
+otuimanu	-11998
+pacabana	-11999
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+▁بول	-12001
+ēmuna	-12002
+▁clean	-12003
+▁direc	-12004
+▁بولين	-12005
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+▁afualo	-12008
+▁delete	-12009
+▁incana	-12010
+▁kameli	-12011
+▁lēsisi	-12012
+▁matutu	-12013
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+▁rēmuna	-12016
+▁siligu	-12017
+▁toromi	-12018
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+▁tukila	-12020
+▁بوليني	-12021
+locarida	-12022
+phemeris	-12023
+pililolo	-12024
+podoides	-12025
+ppenings	-12026
+pulipuli	-12027
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+ranthera	-12029
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+regnumdo	-12031
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+syzygium	-12042
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+uasilani	-12058
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+vanillyl	-12065
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+▁agricul	-12079
+▁amaltas	-12080
+▁anacard	-12081
+▁andrews	-12082
+▁angered	-12083
+▁anklets	-12084
+▁aoranti	-12085
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+▁belgien	-12092
+▁benfica	-12093
+▁bengali	-12094
+▁biserra	-12095
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+▁breynia	-12098
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+▁afuafu	-12127
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+▁cathar	-12129
+▁chelis	-12130
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+▁exists	-12133
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+▁koango	-12136
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+▁charges	-12160
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+▁colloco	-12164
+▁columba	-12165
+▁colégio	-12166
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+▁cyanthi	-12176
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+▁dactyla	-12178
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+▁delarue	-12182
+▁deleted	-12183
+▁deltion	-12184
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+▁diamond	-12187
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+límpi	-12210
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+▁gyro	-12224
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+▁caval	-12238
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+▁japoni	-12257
+▁mīkana	-12258
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+▁saipan	-12261
+▁suisse	-12262
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+▁fakaakó	-12277
+▁farming	-12278
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+▁feitama	-12280
+▁fengaue	-12281
+▁finland	-12282
+▁fishing	-12283
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+▁fongolo	-12285
+▁foodcha	-12286
+▁françai	-12287
+▁françoi	-12288
+▁frontde	-12289
+▁frustra	-12290
+▁fuotava	-12291
+▁gabuuti	-12292
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+brıs	-12303
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+līle	-12305
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+ıbrıs	-12310
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+▁franc	-12314
+▁lodge	-12315
+▁prune	-12316
+▁ridge	-12317
+▁squar	-12318
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+▁elonga	-12324
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+▁kıbrıs	-12327
+▁miguel	-12328
+▁paluna	-12329
+▁selema	-12330
+▁toogoo	-12331
+couraged	-12332
+ctabilis	-12333
+ivarieta	-12334
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diff --git a/models/tokenizer/to_tokenizer_32k.model b/models/tokenizer/to_tokenizer_32k.model
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diff --git a/models/tokenizer/to_tokenizer_32k.vocab b/models/tokenizer/to_tokenizer_32k.vocab
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+▁hangatonu	-10491
+▁hangavale	-10492
+▁hedysarum	-10493
+▁hikifonua	-10494
+▁hirsutula	-10495
+▁hypolepis	-10496
+▁ikamāfana	-10497
+▁increased	-10498
+▁influence	-10499
+▁initially	-10500
+▁kalolaina	-10501
+▁kalolaine	-10502
+▁kaukauloa	-10503
+▁kiukamipā	-10504
+▁komiunitī	-10505
+▁lalofonua	-10506
+▁languages	-10507
+▁lanulangi	-10508
+▁lautetele	-10509
+▁liliaceae	-10510
+▁lotofonua	-10511
+▁lototenga	-10512
+▁macarthur	-10513
+▁makakoloa	-10514
+▁malaspina	-10515
+▁maldivian	-10516
+▁malomaloa	-10517
+▁marchanti	-10518
+▁meanwhile	-10519
+▁melastoma	-10520
+▁mentioned	-10521
+▁micrantha	-10522
+▁nephelium	-10523
+▁nerifolia	-10524
+▁ngutukakā	-10525
+▁nictitans	-10526
+▁nodiflora	-10527
+▁nukufaiau	-10528
+▁ongongata	-10529
+▁pacificus	-10530
+▁pacifique	-10531
+▁pakimoeto	-10532
+▁palāsilia	-10533
+▁patalione	-10534
+▁peninsula	-10535
+▁polinesia	-10536
+▁polotonga	-10537
+▁polynésie	-10538
+▁populated	-10539
+▁porphyrio	-10540
+▁potungāue	-10541
+▁puakatoro	-10542
+▁pulukalia	-10543
+▁rarotonga	-10544
+▁reference	-10545
+▁salvation	-10546
+▁sapientum	-10547
+▁secondary	-10548
+▁september	-10549
+▁shellfish	-10550
+▁significa	-10551
+▁silovakia	-10552
+▁silovākia	-10553
+▁silōvenia	-10554
+▁somewhere	-10555
+▁southwest	-10556
+▁speciosum	-10557
+▁stipulosa	-10558
+▁tamaitaha	-10559
+▁tephrosia	-10560
+▁thousands	-10561
+▁tinctoria	-10562
+▁toafūnaki	-10563
+▁tokaikolo	-10564
+▁tomentosa	-10565
+▁tradition	-10566
+▁tualatala	-10567
+▁tuingaika	-10568
+▁tukufolau	-10569
+▁tukuikolo	-10570
+▁tungīmāna	-10571
+▁turpethum	-10572
+▁valenisia	-10573
+▁variegata	-10574
+▁vietināmi	-10575
+▁waistband	-10576
+cknowledged	-10577
+connaraceae	-10578
+dicranaceae	-10579
+kalisitiane	-10580
+olanesitati	-10581
+ulukihelupe	-10582
+ulukivaiola	-10583
+uēlingatoni	-10584
+▁accordance	-10585
+▁acutifolia	-10586
+▁addressing	-10587
+▁aesthetics	-10588
+▁aggressive	-10589
+▁ahikaulolo	-10590
+▁anaethetus	-10591
+▁apparently	-10592
+▁astronomer	-10593
+▁australian	-10594
+▁autumnalis	-10595
+▁biologists	-10596
+▁breadfruit	-10597
+▁brugmansia	-10598
+▁buchananii	-10599
+▁cassiopeia	-10600
+▁cherimolia	-10601
+▁christians	-10602
+▁cinnamomum	-10603
+▁clusiaceae	-10604
+▁commanding	-10605
+▁commercial	-10606
+▁concerning	-10607
+▁connecting	-10608
+▁consisting	-10609
+▁cordifolia	-10610
+▁cymbopogon	-10611
+▁democratic	-10612
+▁discussion	-10613
+▁domesticus	-10614
+▁ecosystems	-10615
+▁ensiformis	-10616
+▁esculentus	-10617
+▁fakafalala	-10618
+▁fakafefine	-10619
+▁fakafepaki	-10620
+▁fakafāmili	-10621
+▁fakahounga	-10622
+▁fakakālisi	-10623
+▁fakamafola	-10624
+▁fakamalohi	-10625
+▁fakamamafa	-10626
+▁fakamanako	-10627
+▁fakamavahe	-10628
+▁fakamālohi	-10629
+▁fakamāmani	-10630
+▁fakamāsolo	-10631
+▁fakapipiki	-10632
+▁fakapoongi	-10633
+▁falefakauō	-10634
+▁falemahaki	-10635
+▁fefakavaha	-10636
+▁filomatolu	-10637
+▁fuifuilupe	-10638
+▁fātungaloa	-10639
+▁gibberosum	-10640
+▁guttiferae	-10641
+▁hengehenga	-10642
+▁hereditary	-10643
+▁hesikōvina	-10644
+▁hinaekiaki	-10645
+▁hispidulum	-10646
+▁hongohongo	-10647
+▁kalonikali	-10648
+▁kavaefiafi	-10649
+▁kominiueli	-10650
+▁konetikati	-10651
+▁kulinilani	-10652
+▁kōviriviri	-10653
+▁lanufiofio	-10654
+▁lekaumoana	-10655
+▁liliopsida	-10656
+▁linggensis	-10657
+▁lātūnipulu	-10658
+▁macroptera	-10659
+▁mahaloloto	-10660
+▁malativisi	-10661
+▁matakasika	-10662
+▁mavaetangi	-10663
+▁mokomokotu	-10664
+▁mongomonga	-10665
+▁mosēmipiki	-10666
+▁navigation	-10667
+▁ngalingali	-10668
+▁nginingini	-10669
+▁oceanfront	-10670
+▁originated	-10671
+▁paniculata	-10672
+▁phaeophyta	-10673
+▁pilinisipe	-10674
+▁polofifisi	-10675
+▁portuguesa	-10676
+▁primordial	-10677
+▁princesses	-10678
+▁procumbens	-10679
+▁ptilinopus	-10680
+▁quadrupeds	-10681
+▁queensland	-10682
+▁ramiflorum	-10683
+▁recognised	-10684
+▁reflective	-10685
+▁remarkable	-10686
+▁representa	-10687
+▁rhodophyta	-10688
+▁rhomboidea	-10689
+▁rutherford	-10690
+▁scutellari	-10691
+▁securinega	-10692
+▁situlōpeli	-10693
+▁smothering	-10694
+▁tamarumaru	-10695
+▁taufatofua	-10696
+▁taungapeka	-10697
+▁telekivava	-10698
+▁tenuifolia	-10699
+▁tongatonga	-10700
+▁tongotongo	-10701
+▁totokamaka	-10702
+▁trifoliata	-10703
+▁triumfetta	-10704
+▁tuaikaepau	-10705
+▁tubiflorum	-10706
+▁umbellatum	-10707
+▁österreich	-10708
+akulukilangi	-10709
+alaivahamama	-10710
+coelenterata	-10711
+lejeuneaceae	-10712
+planchonella	-10713
+protostomata	-10714
+ulukilupetea	-10715
+▁alternative	-10716
+▁amboinensis	-10717
+▁angiopteris	-10718
+▁appointment	-10719
+▁aristocracy	-10720
+▁caesalpinia	-10721
+▁callophylum	-10722
+▁calyculatus	-10723
+▁chamissonis	-10724
+▁chlorophyll	-10725
+▁chlorophyta	-10726
+▁cladosiphon	-10727
+▁collinsiana	-10728
+▁convolvulus	-10729
+▁crownprince	-10730
+▁cryptocarya	-10731
+▁declaration	-10732
+▁degenerated	-10733
+▁deutschland	-10734
+▁distinguish	-10735
+▁effectively	-10736
+▁faikehekehe	-10737
+▁fakaenatula	-10738
+▁fakafeangai	-10739
+▁fakafefiofi	-10740
+▁fakakolonia	-10741
+▁fakalapanui	-10742
+▁fakalūkufua	-10743
+▁fakamakaafi	-10744
+▁fakavāhenga	-10745
+▁fonongahina	-10746
+▁fonuamamala	-10747
+▁fuanunuiava	-10748
+▁grandiflora	-10749
+▁grasshopper	-10750
+▁gymnosporia	-10751
+▁halatuituia	-10752
+▁helesingikī	-10753
+▁hāhāmolofia	-10754
+▁institution	-10755
+▁jellyfishes	-10756
+▁kanititeiti	-10757
+▁kaungāfonua	-10758
+▁langitoutai	-10759
+▁lautalotalo	-10760
+▁lātūteovave	-10761
+▁lātūtoevave	-10762
+▁malaccensis	-10763
+▁membranacea	-10764
+▁microphylla	-10765
+▁mohemolanga	-10766
+▁navelstring	-10767
+▁neisosperma	-10768
+▁obtusifolia	-10769
+▁pedilanthus	-10770
+▁psilopetala	-10771
+▁rhombifolia	-10772
+▁santaloides	-10773
+▁sumatrensis	-10774
+▁taumafakava	-10775
+▁tekinolosia	-10776
+▁telekitonga	-10777
+▁tesalonaika	-10778
+▁tetraphylla	-10779
+▁totokafonua	-10780
+▁tulikihakau	-10781
+▁uasingatoni	-10782
+▁vasconcelos	-10783
+cucurbitaceae	-10784
+gnathostomata	-10785
+hernandiaceae	-10786
+leucobryaceae	-10787
+pteridosperma	-10788
+sterculiaceae	-10789
+tokelauhahake	-10790
+zingiberaceae	-10791
+▁caryophyllus	-10792
+▁commissioner	-10793
+▁construction	-10794
+▁corynocarpus	-10795
+▁fakaetangata	-10796
+▁fakahokohoko	-10797
+▁fakamelomelo	-10798
+▁fakamolemole	-10799
+▁fakapikopiko	-10800
+▁fakapisinisi	-10801
+▁fakatoukatea	-10802
+▁fakpilitānia	-10803
+▁faletuipapai	-10804
+▁fimbristylis	-10805
+▁funakitoutai	-10806
+▁gallicolumba	-10807
+▁hypericaceae	-10808
+▁installation	-10809
+▁kafoamotalau	-10810
+▁kaluafotonga	-10811
+▁kavahuhutahi	-10812
+▁kavahuhuveli	-10813
+▁kolosalusalu	-10814
+▁lanukulokula	-10815
+▁makahokovalú	-10816
+▁matapekepeka	-10817
+▁misschievous	-10818
+▁missionaries	-10819
+▁monitenikalo	-10820
+▁māhinafekite	-10821
+▁navigational	-10822
+▁neighbouring	-10823
+▁niukaletonia	-10824
+▁organisation	-10825
+▁pekepekātama	-10826
+▁protostomata	-10827
+▁sitokiholimi	-10828
+▁spodiopygius	-10829
+▁superciliosa	-10830
+▁talakaifaiki	-10831
+▁tautautefito	-10832
+▁tenuirostris	-10833
+▁tongamohenoa	-10834
+▁uonukuhahake	-10835
+▁uonukuhihifo	-10836
+▁vakalahimohe	-10837
+chondrichthyes	-10838
+elaeocarpaceae	-10839
+lycopodiophyta	-10840
+ngalingalikehe	-10841
+▁administrator	-10842
+▁australasicum	-10843
+▁clusiaefolium	-10844
+▁collaboration	-10845
+▁cyanobacteria	-10846
+▁environmental	-10847
+▁euphorbiaceae	-10848
+▁fakapilitania	-10849
+▁fakatautoitoi	-10850
+▁grandchildren	-10851
+▁investigation	-10852
+▁lanumatamaama	-10853
+▁mafatakikoula	-10854
+▁ongoongolelei	-10855
+▁protasparagus	-10856
+▁reinwardtiana	-10857
+▁schizopetalus	-10858
+▁simplicifolia	-10859
+▁sphaeropteris	-10860
+▁tokelauhihifo	-10861
+▁unfortunately	-10862
+▁angafakamamahi	-10863
+▁characteristic	-10864
+▁chromalveolata	-10865
+▁fakatemokalati	-10866
+▁fatukimotulalo	-10867
+▁mapatongiamanu	-10868
+▁moerenhoutiana	-10869
+▁phyllanthaceae	-10870
+▁pungakaitafola	-10871
+ifanakavakilangi	-10872
+▁daigremontianum	-10873
+▁fakafaikehekehe	-10874
+▁fakahomosekisua	-10875
+▁likitenisitaini	-10876
+▁marchantiophyta	-10877
+▁monocotyledones	-10878
+▁representatives	-10879
+▁scutellarioides	-10880
+afr	-10881
+iyl	-10882
+zhō	-10883
+ару	-10884
+гар	-10885
+ної	-10886
+וקי	-10887
+ינו	-10888
+יקי	-10889
+عود	-10890
+غرب	-10891
+وري	-10892
+ويت	-10893
+▁ŋŋ	-10894
+▁бе	-10895
+▁ср	-10896
+▁با	-10897
+afrî	-10898
+bbed	-10899
+xpf	-10900
+يبو	-10901
+▁пі	-10902
+bnan	-10903
+cuia	-10904
+ghan	-10905
+hiná	-10906
+holm	-10907
+jobi	-10908
+mūrī	-10909
+nití	-10910
+nēli	-10911
+ptio	-10912
+rajá	-10913
+runk	-10914
+rōki	-10915
+ukra	-10916
+wnut	-10917
+zium	-10918
+ácio	-10919
+ītiō	-10920
+бија	-10921
+вики	-10922
+ерна	-10923
+инез	-10924
+кист	-10925
+нної	-10926
+нськ	-10927
+педі	-10928
+تونس	-10929
+ودان	-10930
+يبوت	-10931
+▁méi	-10932
+▁tür	-10933
+▁vhs	-10934
+▁yuk	-10935
+▁мов	-10936
+▁пів	-10937
+▁بال	-10938
+again	-10939
+basci	-10940
+bbard	-10941
+bilee	-10942
+dynam	-10943
+edade	-10944
+field	-10945
+gasri	-10946
+ideae	-10947
+ighth	-10948
+kīngī	-10949
+ldova	-10950
+lkara	-10951
+lūpuu	-10952
+makou	-10953
+meweb	-10954
+mmaha	-10955
+namha	-10956
+nghas	-10957
+ngiāo	-10958
+nikar	-10959
+obito	-10960
+oonge	-10961
+ordoo	-10962
+ovavá	-10963
+presl	-10964
+rengl	-10965
+resby	-10966
+rupta	-10967
+showy	-10968
+surer	-10969
+surre	-10970
+tungī	-10971
+ustry	-10972
+westi	-10973
+zhōng	-10974
+ários	-10975
+êafrî	-10976
+úmbia	-10977
+ōkita	-10978
+šaris	-10979
+верна	-10980
+енної	-10981
+зстан	-10982
+икист	-10983
+инези	-10984
+нська	-10985
+педия	-10986
+педія	-10987
+ської	-10988
+عودية	-10989
+يبوتي	-10990
+▁brey	-10991
+▁crux	-10992
+▁flax	-10993
+▁flex	-10994
+▁gurg	-10995
+▁jean	-10996
+▁jien	-10997
+▁jiho	-10998
+▁nūnū	-10999
+clet	-11000
+crip	-11001
+denn	-11002
+druk	-11003
+ipoe	-11004
+lokō	-11005
+nnel	-11006
+ucca	-11007
+zuku	-11008
+banas	-11009
+beard	-11010
+calyp	-11011
+cente	-11012
+cocca	-11013
+cosum	-11014
+crino	-11015
+kievi	-11016
+lacca	-11017
+lofea	-11018
+micki	-11019
+odoro	-11020
+orkis	-11021
+psilo	-11022
+radua	-11023
+sects	-11024
+vieto	-11025
+worms	-11026
+ēsela	-11027
+▁reig	-11028
+▁reno	-11029
+▁sehs	-11030
+▁stey	-11031
+▁zeyh	-11032
+▁мова	-11033
+▁мови	-11034
+▁полі	-11035
+▁півд	-11036
+▁القم	-11037
+▁بالغ	-11038
+▁موري	-11039
+afrika	-11040
+apuata	-11041
+bergii	-11042
+bidden	-11043
+bissau	-11044
+bughan	-11045
+butubu	-11046
+cabana	-11047
+camaha	-11048
+chiefs	-11049
+chnida	-11050
+chytar	-11051
+coidan	-11052
+crista	-11053
+cucumb	-11054
+dennst	-11055
+derosa	-11056
+donija	-11057
+entwor	-11058
+fefeka	-11059
+fimafi	-11060
+fufula	-11061
+gascar	-11062
+gitagi	-11063
+gopsis	-11064
+govina	-11065
+gripen	-11066
+halako	-11067
+hewnut	-11068
+hopana	-11069
+imenia	-11070
+karāna	-11071
+kiston	-11072
+kitiki	-11073
+kuokai	-11074
+kāponi	-11075
+lakosā	-11076
+liaris	-11077
+lobita	-11078
+lokolo	-11079
+lokōsi	-11080
+lsonii	-11081
+lubnan	-11082
+lycopo	-11083
+lāvite	-11084
+lōvepi	-11085
+maltas	-11086
+mipilō	-11087
+mipola	-11088
+mnants	-11089
+morosa	-11090
+mosome	-11091
+moteka	-11092
+mperes	-11093
+nabari	-11094
+namhan	-11095
+naqala	-11096
+narrow	-11097
+nidani	-11098
+nirase	-11099
+??,	-11100
+bān	-11101
+dān	-11102
+sbt	-11103
+олд	-11104
+ارا	-11105
+غية	-11106
+▁ки	-11107
+cíli	-11108
+вија	-11109
+олда	-11110
+ارات	-11111
+▁īki	-11112
+▁киї	-11113
+▁кос	-11114
+apelé	-11115
+beams	-11116
+bānlā	-11117
+rākau	-11118
+مارات	-11119
+▁colé	-11120
+▁fowl	-11121
+▁fāmá	-11122
+▁tamá	-11123
+▁tomá	-11124
+▁tomé	-11125
+▁київ	-11126
+▁косо	-11127
+beatus	-11128
+bānlād	-11129
+cílios	-11130
+jeiras	-11131
+nthium	-11132
+olooca	-11133
+oloseŋ	-11134
+orphan	-11135
+ougain	-11136
+panapa	-11137
+panula	-11138
+panuve	-11139
+papaku	-11140
+petiba	-11141
+pipili	-11142
+ppened	-11143
+psilum	-11144
+quorum	-11145
+radula	-11146
+rayiyl	-11147
+rienne	-11148
+rified	-11149
+riidae	-11150
+riosme	-11151
+rrhiza	-11152
+rrowly	-11153
+rtales	-11154
+ryanum	-11155
+sanura	-11156
+selese	-11157
+sesama	-11158
+settia	-11159
+siuiki	-11160
+spalum	-11161
+spaper	-11162
+spheno	-11163
+strove	-11164
+telnut	-11165
+thical	-11166
+tikiti	-11167
+tirame	-11168
+tivity	-11169
+tograp	-11170
+topher	-11171
+tswana	-11172
+tukitu	-11173
+tutulu	-11174
+uellia	-11175
+ulithi	-11176
+urious	-11177
+vehill	-11178
+venija	-11179
+vensko	-11180
+vivens	-11181
+worthi	-11182
+àìjírí	-11183
+ìjíríy	-11184
+ōmingi	-11185
+еверна	-11186
+іпедія	-11187
+וקיינו	-11188
+تونغية	-11189
+▁amork	-11190
+▁ascen	-11191
+▁awoke	-11192
+▁basic	-11193
+▁basil	-11194
+▁began	-11195
+▁bends	-11196
+▁blech	-11197
+▁bleek	-11198
+▁blume	-11199
+antas	-11200
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+▁mauliti	-12385
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+▁mercury	-12389
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+▁mofuike	-12398
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+▁nikolas	-12465
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+▁okamura	-12473
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+▁pesiloa	-12492
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+▁وي	-12500
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+▁nzd	-12506
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+origi	-12512
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+▁plumosa	-12579
+▁plunder	-12580
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+▁preroga	-12583
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+▁privili	-12585
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+▁pīkōnia	-12593
+▁raupunu	-12594
+▁reddish	-12595
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+▁resided	-12599
+lqu	-12600
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+▁brevipes	-13264
+▁britanni	-13265
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+▁cordovil	-13299
+نان	-13300
+akāu	-13301
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+▁gps	-13307
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+lakilangi	-13378
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+▁abducted	-13381
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+▁corridor	-13383
+▁creation	-13384
+▁crickets	-13385
+▁crossing	-13386
+▁cucumber	-13387
+▁curicica	-13388
+▁currents	-13389
+▁cylindri	-13390
+▁daedalea	-13391
+▁danidani	-13392
+▁davallia	-13393
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+▁digested	-13395
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+▁diridamu	-13397
+▁djibouti	-13398
+▁doctrine	-13399
+ambia	-13400
+cnide	-13401
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+▁caju	-13403
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+▁pork	-13405
+▁porz	-13406
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+▁devil	-13413
+▁earwi	-13414
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+▁fievākai	-13489
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+▁matasili	-14084
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+▁incons	-14235
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+▁tōmā	-16035
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+▁pātia	-16045
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+▁ليبيا	-16050
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+▁humata	-16060
+▁lepolo	-16061
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+▁uasike	-16066
+▁vaehau	-16067
+▁butterf	-16068
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+▁fanakio	-16071
+▁laulalo	-16072
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+▁luakapa	-16074
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+▁westpac	-16077
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+▁calidris	-16080
+▁complexo	-16081
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+▁ponuhuka	-16083
+▁reassert	-16084
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+▁butterfly	-16088
+▁etlingera	-16089
+▁fakapōngi	-16090
+▁fāfākonga	-16091
+▁ganoderma	-16092
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+▁gholsonii	-16094
+▁giganteus	-16095
+▁gogonasus	-16096
+▁gonagasri	-16097
+▁gravehill	-16098
+▁guadalupe	-16099
+то	-16100
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+▁hohoko	-16144
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+▁mahame	-16146
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+▁diffusa	-16160
+▁guiding	-16161
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+▁langito	-16163
+▁siotame	-16164
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+▁imagined	-16167
+▁matakula	-16168
+▁nukanuka	-16169
+▁porphyra	-16170
+fulikivanu	-16171
+sicmichael	-16172
+▁andrewsae	-16173
+▁fanuatapu	-16174
+▁guanabara	-16175
+▁harpeodes	-16176
+▁helikonia	-16177
+▁hemiptera	-16178
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+▁hingavele	-16180
+▁homalozoa	-16181
+▁hopokanga	-16182
+▁huhutefua	-16183
+▁huinihera	-16184
+▁hydrocoty	-16185
+▁inclusion	-16186
+▁informant	-16187
+▁initaneti	-16188
+▁interpres	-16189
+▁invention	-16190
+▁involutum	-16191
+▁itanhangá	-16192
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+▁josephine	-16194
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+▁kalaapuhi	-16196
+▁kalaapusi	-16197
+▁kalakatoa	-16198
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+▁fc	-16205
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+ualu	-16212
+ūsia	-16213
+▁coi	-16214
+▁iri	-16215
+▁pam	-16216
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+▁pao	-16218
+▁soi	-16219
+▁tuā	-16220
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+▁foua	-16226
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+▁sēpi	-16231
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+▁fuono	-16242
+▁horse	-16243
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+▁pampu	-16245
+▁penau	-16246
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+▁tuenu	-16248
+▁tuānu	-16249
+▁valai	-16250
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+▁white	-16252
+▁yield	-16253
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+telūsia	-16255
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+▁faisei	-16257
+▁fuonoa	-16258
+▁hitilā	-16259
+▁iriaio	-16260
+▁māmami	-16261
+▁māsima	-16262
+▁tenisā	-16263
+▁arising	-16264
+▁colours	-16265
+tikalawau	-16266
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+▁arrested	-16268
+▁believer	-16269
+▁fiengāue	-16270
+▁kasakisi	-16271
+▁matatane	-16272
+▁mākurūta	-16273
+▁pannaria	-16274
+▁saualuma	-16275
+▁starting	-16276
+▁tulikitu	-16277
+anitelūsia	-16278
+olungalaku	-16279
+▁believers	-16280
+▁kaloafutu	-16281
+▁kangakalo	-16282
+▁kaufusitu	-16283
+▁kaumālohi	-16284
+▁kaungātau	-16285
+▁kaunounou	-16286
+▁kelefesia	-16287
+▁kelekōlió	-16288
+▁kelimoana	-16289
+▁kimautolu	-16290
+▁kimoutolu	-16291
+▁kitautolu	-16292
+▁kiukamipa	-16293
+▁kolomupia	-16294
+▁kolongata	-16295
+▁kolosiale	-16296
+▁kuloklula	-16297
+▁lahisuper	-16298
+▁landlords	-16299
+īy	-16300
+bīy	-16301
+oun	-16302
+sun	-16303
+wne	-16304
+▁[(	-16305
+bīyā	-16306
+eric	-16307
+lcon	-16308
+mesi	-16309
+napi	-16310
+saea	-16311
+sipi	-16312
+tetí	-16313
+▁fem	-16314
+▁kne	-16315
+▁niv	-16316
+▁ovu	-16317
+akeni	-16318
+akāla	-16319
+asitū	-16320
+colou	-16321
+eroun	-16322
+hoosi	-16323
+kitai	-16324
+simum	-16325
+▁coun	-16326
+▁feei	-16327
+▁kine	-16328
+▁kopi	-16329
+▁laga	-16330
+▁tofa	-16331
+▁ulia	-16332
+▁vaia	-16333
+falcon	-16334
+ihoosi	-16335
+lībīyā	-16336
+tāpule	-16337
+▁culti	-16338
+▁fancy	-16339
+▁femme	-16340
+▁incai	-16341
+▁knees	-16342
+▁ngako	-16343
+▁nivos	-16344
+▁ovuku	-16345
+anakāla	-16346
+kolosia	-16347
+maranta	-16348
+vanuatu	-16349
+▁browne	-16350
+▁capita	-16351
+▁fiekai	-16352
+▁komesi	-16353
+▁pīnapi	-16354
+▁raided	-16355
+▁sitetí	-16356
+▁sloven	-16357
+▁tapuae	-16358
+▁uliafu	-16359
+akenisoa	-16360
+asitūlia	-16361
+coloured	-16362
+itelinga	-16363
+maloides	-16364
+sissimum	-16365
+sunshade	-16366
+▁baptist	-16367
+▁cultiva	-16368
+▁cuspida	-16369
+▁falehau	-16370
+▁faukula	-16371
+▁fiekaia	-16372
+▁generic	-16373
+▁incaica	-16374
+▁nivosus	-16375
+▁pīkitai	-16376
+▁tamatau	-16377
+▁tongane	-16378
+▁trading	-16379
+▁vaolima	-16380
+▁cameroun	-16381
+▁counting	-16382
+▁cultivar	-16383
+▁distance	-16384
+▁feeimata	-16385
+▁hemisaea	-16386
+▁kinekina	-16387
+▁manavahē	-16388
+▁misisipi	-16389
+▁phaleria	-16390
+▁rosarosa	-16391
+▁spanning	-16392
+asitūliasi	-16393
+hymaloides	-16394
+mosissimum	-16395
+▁lanukoula	-16396
+▁lapponica	-16397
+▁latifolia	-16398
+▁laumalila	-16399
+ös	-16400
+foo	-16401
+ipi	-16402
+kno	-16403
+rös	-16404
+sma	-16405
+upi	-16406
+elau	-16407
+hoha	-16408
+kose	-16409
+rösê	-16410
+uili	-16411
+uipi	-16412
+ëfoo	-16413
+وريا	-16414
+▁pay	-16415
+kalae	-16416
+known	-16417
+remai	-16418
+suipi	-16419
+teaux	-16420
+óëfoo	-16421
+örösê	-16422
+سوريا	-16423
+▁lupo	-16424
+▁maho	-16425
+▁veia	-16426
+dörösê	-16427
+hulamu	-16428
+māhoha	-16429
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+▁dicra	-16432
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+▁niuas	-16434
+▁nūmea	-16435
+▁tilia	-16436
+▁tiupi	-16437
+▁tulou	-16438
+▁سوريا	-16439
+elaumea	-16440
+nascens	-16441
+perrier	-16442
+ödörösê	-16443
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+▁sekose	-16446
+▁seuili	-16447
+▁thirst	-16448
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+▁bulleri	-16451
+▁candida	-16452
+▁faitoho	-16453
+▁fakautu	-16454
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+▁mohulamu	-16461
+▁paspalum	-16462
+▁santiago	-16463
+▁shedding	-16464
+▁shinners	-16465
+▁stephens	-16466
+▁tiliacea	-16467
+▁adnascens	-16468
+▁laumatolu	-16469
+▁laupapaki	-16470
+▁laupapata	-16471
+▁lauraceae	-16472
+▁leleisala	-16473
+▁lepidotis	-16474
+▁lifestyle	-16475
+▁ligularis	-16476
+▁literally	-16477
+▁litoralis	-16478
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+▁turbinata	-17495
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+)<	-17500
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+▁вікіпедія	-17689
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+▁ohoana	-17771
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+▁kamakama	-17791
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+▁najeriya	-17794
+▁palovepi	-17795
+▁qaloqalo	-17796
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+ipa	-17802
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+▁vg	-17804
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+▁fakamē	-17842
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+▁lōkeha	-17844
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+▁deceased	-17854
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+▁falahola	-17856
+▁hingoamā	-17857
+▁lātūtama	-17858
+▁mahimahi	-17859
+▁sifisifi	-17860
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+▁agavaceae	-17862
+▁blastozoa	-17863
+▁discredit	-17864
+▁dorotheae	-17865
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+▁ischaemum	-17868
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+aspidiaceae	-17873
+bridisation	-17874
+cauliflower	-17875
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+culariaceae	-17880
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+elekituloni	-17882
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+fuopotopoto	-17885
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+iloakolonga	-17890
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+▁predawn	-17978
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+pointment	-17980
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+▁manonu	-18145
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+▁fangufa	-18155
+▁felingi	-18156
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+imakulata	-18159
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+▁mākāhala	-18164
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+▁purukamu	-18166
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+▁unicatus	-18170
+akitautolu	-18171
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+▁remission	-18176
+▁tokaibebe	-18177
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+tauotuimanu	-18181
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+▁дл	-18212
+▁на	-18213
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+▁taú	-18318
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+▁pītō	-18327
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+▁attendants	-18378
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+▁beloperone	-18381
+▁berteroana	-18382
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+▁boteboteko	-18384
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+▁campylopus	-18388
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+▁chamaesyce	-18398
+▁chandelier	-18399
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+▁sternae	-18464
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+▁compressus	-18495
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+▁~	-18500
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+▁tēpile	-18560
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+▁creator	-18564
+▁fakalaó	-18565
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+▁tavioka	-18569
+▁titanai	-18570
+mandarine	-18571
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+▁keleleke	-18574
+▁kulufotu	-18575
+▁mamakara	-18576
+▁ocupados	-18577
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+▁coyagiyagi	-18590
+▁cuspidatum	-18591
+▁cyanthilli	-18592
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+▁decoration	-18598
+▁derogatory	-18599
+çu	-18600
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+eha	-18602
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+▁vk	-18604
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+ssue	-18610
+uana	-18611
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+▁boa	-18613
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+akemi	-18616
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+nisia	-18620
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+▁kuka	-18625
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+▁unit	-18627
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+▁stake	-18633
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+▁kulotu	-18641
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+▁veifoa	-18650
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+▁moalulu	-18658
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+▁turiaçu	-18660
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+▁fakatolu	-18666
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+▁hato	-18729
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+▁lanufelila	-19597
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+▁laserpitii	-19599
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+▁brachiaria	-20987
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+▁semiformal	-20990
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+▁hungana	-21057
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+▁felefonu	-21064
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+▁eniselese	-21078
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+▁fungavaka	-21080
+▁pomarinus	-21081
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+▁tokonivai	-21084
+▁amaranthus	-21085
+▁biserratum	-21086
+▁flavicarpa	-21087
+▁fungafonua	-21088
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+▁skirmishes	-21090
+▁sonorensis	-21091
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+▁spennemann	-21093
+▁spiderwort	-21094
+▁squarrosum	-21095
+▁stanselaus	-21096
+▁statistics	-21097
+▁stonehenge	-21098
+▁strawberry	-21099
+▁cw	-21100
+▁vc	-21101
+both	-21102
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+teine	-21105
+▁deus	-21106
+▁gahe	-21107
+▁haze	-21108
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+▁lads	-21110
+▁lobo	-21111
+▁poui	-21112
+▁soko	-21113
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+anaise	-21115
+ikiiki	-21116
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+▁tākai	-21128
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+▁poutea	-21143
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+▁halaano	-21155
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+▁niutupu	-21157
+▁painitu	-21158
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+▁punalau	-21160
+▁scleria	-21161
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+▁droudrou	-21164
+▁humility	-21165
+▁kolotaka	-21166
+▁mangrove	-21167
+▁monamona	-21168
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+▁pulukamu	-21170
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+▁tungīfisi	-21177
+▁fakafamili	-21178
+▁fakaikiiki	-21179
+▁fakamafeia	-21180
+▁glaberrima	-21181
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+▁strengthen	-21184
+▁strigulosa	-21185
+▁suaveolens	-21186
+▁subpeltata	-21187
+▁subspinosa	-21188
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+▁successors	-21190
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+▁supplement	-21192
+▁supporters	-21193
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+▁sēkeletali	-21196
+▁tacamahaca	-21197
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+▁takalekale	-21200
+▁takamamata	-21201
+▁takeivūlai	-21202
+▁talakaipau	-21203
+▁talangofua	-21204
+▁talofutuna	-21205
+▁talolakepa	-21206
+▁tasikitani	-21207
+▁taumoepenu	-21208
+▁tavaketoto	-21209
+▁technology	-21210
+▁teinainano	-21211
+▁televisone	-21212
+▁tengetenga	-21213
+▁testaments	-21214
+▁tetraptera	-21215
+▁thalasseus	-21216
+▁thereafter	-21217
+▁thomsoniae	-21218
+▁threadlike	-21219
+▁threatened	-21220
+▁tikisinale	-21221
+▁tiliifolia	-21222
+▁timoriense	-21223
+▁tinikarāti	-21224
+▁tongahahke	-21225
+▁tongitongi	-21226
+▁toutaimana	-21227
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+▁translates	-21229
+▁travellers	-21230
+▁travelling	-21231
+▁tremadoton	-21232
+▁tridentata	-21233
+▁tripartita	-21234
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+▁turulakaka	-21236
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+▁tāvalivali	-21238
+▁tūtaepuaka	-21239
+▁uhilaukoka	-21240
+▁umbellatus	-21241
+▁understand	-21242
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+▁unleavened	-21244
+▁urodynamis	-21245
+▁urticaceae	-21246
+▁vahemāmani	-21247
+▁vaiatolitī	-21248
+▁variegated	-21249
+▁variegatum	-21250
+▁variegatus	-21251
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+▁villaresia	-21253
+▁villingili	-21254
+▁virginiana	-21255
+▁volkameria	-21256
+▁washington	-21257
+▁waterhouse	-21258
+▁westindian	-21259
+▁wilkesiana	-21260
+▁woelfleana	-21261
+▁worthwhile	-21262
+▁xanthosoma	-21263
+▁xylocarpus	-21264
+▁yaqoyaqona	-21265
+▁zeylanicum	-21266
+▁zollingeri	-21267
+▁ākengamotu	-21268
+▁кыргызстан	-21269
+▁македонија	-21270
+▁тонганском	-21271
+▁точикистон	-21272
+akātakilangi	-21273
+anaukihesina	-21274
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+branchiopoda	-21278
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+dennstaedtia	-21282
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+ekelesiasita	-21284
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+fakakehekehe	-21288
+fakatahataha	-21289
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+hoamofaleono	-21291
+ifangahihifo	-21292
+illigitimate	-21293
+kafoaheliaki	-21294
+latinahingoa	-21295
+lupekelekele	-21296
+marattiaceae	-21297
+meteoriaceae	-21298
+okolokahakai	-21299
+pannariaceae	-21300
+parmeliaceae	-21301
+photographer	-21302
+polanipolska	-21303
+psilotophyta	-21304
+regnumdomain	-21305
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+talingelinga	-21310
+uamōtukutuku	-21311
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+utukalongalu	-21313
+utulangivaka	-21314
+▁accompanied	-21315
+▁acrostichum	-21316
+▁akapisipisi	-21317
+▁alakihihifo	-21318
+▁albuquerque	-21319
+▁allegations	-21320
+▁alysicarpus	-21321
+▁anthrophyum	-21322
+▁aofangatuku	-21323
+▁appropriate	-21324
+▁approximans	-21325
+▁arachnoides	-21326
+▁argophyllus	-21327
+▁arundinacea	-21328
+▁aspleniales	-21329
+▁auricularia	-21330
+▁auriculatum	-21331
+▁authorities	-21332
+▁batikalawau	-21333
+▁bengalensis	-21334
+▁bipunctatum	-21335
+▁blackburnia	-21336
+▁bolivariana	-21337
+▁bombacaceae	-21338
+▁bulbsociety	-21339
+▁capsicoides	-21340
+▁carunculata	-21341
+▁chelisoches	-21342
+▁chenitacala	-21343
+▁christopher	-21344
+▁commemorate	-21345
+▁complanatum	-21346
+▁confiscated	-21347
+▁controlling	-21348
+▁convallaria	-21349
+▁cooperative	-21350
+▁corymborkis	-21351
+▁crassifolia	-21352
+▁cyathophora	-21353
+▁cylindricum	-21354
+▁cyrtosperma	-21355
+▁decomposita	-21356
+▁delphacidae	-21357
+▁dendrocnide	-21358
+▁denticulata	-21359
+▁diplanthera	-21360
+▁disappeared	-21361
+▁discredited	-21362
+▁discussions	-21363
+▁distinction	-21364
+▁easternmost	-21365
+▁electricity	-21366
+▁entrenching	-21367
+▁explanatory	-21368
+▁faingamalie	-21369
+▁fakaelatina	-21370
+▁fakafanongo	-21371
+▁fakamalinga	-21372
+▁fakamalusio	-21373
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+▁fakapalangi	-21375
+▁fakapangikē	-21376
+▁fakapupunga	-21377
+▁fakarapanui	-21378
+▁fakasiamane	-21379
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+▁fakatautaha	-21383
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+▁fakatuotuai	-21387
+▁fakatupunga	-21388
+▁fakavanuatu	-21389
+▁fanongahina	-21390
+▁fastigiatus	-21391
+▁fatumanongi	-21392
+▁fetakinanga	-21393
+▁fetokopunga	-21394
+▁fitungofulu	-21395
+▁fonokimoana	-21396
+▁forgiveness	-21397
+▁fotoplantas	-21398
+▁fructicosum	-21399
+▁fuepulahina	-21400
+▁functioning	-21401
+▁gallirallus	-21402
+▁gendarmerie	-21403
+▁gentianales	-21404
+▁glaucescens	-21405
+▁goldpflaume	-21406
+▁grandfather	-21407
+▁grandmother	-21408
+▁gratissimum	-21409
+▁grossularia	-21410
+▁gymnorrhiza	-21411
+▁halafuoleva	-21412
+▁halakilangi	-21413
+▁halfbrother	-21414
+▁harmonizing	-21415
+▁hercegovina	-21416
+▁hoplocarida	-21417
+▁hydrocotyle	-21418
+▁hymenolepis	-21419
+▁hypothesize	-21420
+▁incomptence	-21421
+▁independent	-21422
+▁indigeneity	-21423
+▁inexpectata	-21424
+▁influential	-21425
+▁inhabitants	-21426
+▁inheritance	-21427
+▁instability	-21428
+▁instignator	-21429
+▁intelligent	-21430
+▁interpreted	-21431
+▁inumofalefā	-21432
+▁jacarepaguá	-21433
+▁jacarezinho	-21434
+▁jaliscensis	-21435
+▁jiennasiana	-21436
+▁kaisurisuri	-21437
+▁kalokataile	-21438
+▁kanitāpilia	-21439
+▁kasitiliesi	-21440
+▁kaukauariki	-21441
+▁kiebutinang	-21442
+▁kisikisivai	-21443
+▁kitikitivai	-21444
+▁kolongatata	-21445
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+▁kuiniselani	-21447
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+▁kumāikuvalu	-21449
+▁lakshadweep	-21450
+▁laranjeiras	-21451
+▁lathyroides	-21452
+▁laveangofua	-21453
+▁legislation	-21454
+▁lepolaupata	-21455
+▁leucogaster	-21456
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+▁leucosticta	-21458
+▁lherminieri	-21459
+▁lonchophora	-21460
+▁longicollis	-21461
+▁louengeenga	-21462
+▁loukinikini	-21463
+▁loulanumata	-21464
+▁lupematakui	-21465
+▁lātūfuipeka	-21466
+▁maccormicki	-21467
+▁macronectes	-21468
+▁macrophylla	-21469
+▁macrorrhiza	-21470
+▁malvaviscus	-21471
+▁manuopangai	-21472
+▁mapuhengalu	-21473
+▁matahangale	-21474
+▁maumautaimi	-21475
+▁megalomania	-21476
+▁megathyrsus	-21477
+▁mikolonīsia	-21478
+▁mimosoideae	-21479
+▁moenganongo	-21480
+▁moluccensis	-21481
+▁monocephala	-21482
+▁necessarily	-21483
+▁nederlandse	-21484
+▁neikarairai	-21485
+▁ngalufānifo	-21486
+▁ngataialupe	-21487
+▁nigripennis	-21488
+▁nimangofulu	-21489
+▁niufanileni	-21490
+▁niutoputapu	-21491
+▁nonstinging	-21492
+▁noregnorgga	-21493
+▁nukuseilala	-21494
+▁nukutahanga	-21495
+▁obligations	-21496
+▁occidentale	-21497
+▁officinalis	-21498
+▁oliviformis	-21499
+▁onychoprion	-21500
+▁overpowered	-21501
+▁oxalidaceae	-21502
+▁pakingihami	-21503
+▁paradibolia	-21504
+▁parasiticus	-21505
+▁pelukihehau	-21506
+▁pentaphylla	-21507
+▁pentecostal	-21508
+▁permanently	-21509
+▁phalangidis	-21510
+▁philippines	-21511
+▁physocarpus	-21512
+▁pikipeavela	-21513
+▁pipifaisisi	-21514
+▁pleiogynium	-21515
+▁pleocyemata	-21516
+▁policeforce	-21517
+▁polopālangi	-21518
+▁polynesians	-21519
+▁practically	-21520
+▁premiership	-21521
+▁prestigeous	-21522
+▁prestigious	-21523
+▁pritchardii	-21524
+▁proterantha	-21525
+▁psittacorum	-21526
+▁pukawapuata	-21527
+▁raupunupunu	-21528
+▁regulations	-21529
+▁remembrance	-21530
+▁reorganised	-21531
+▁requirement	-21532
+▁researchers	-21533
+▁residential	-21534
+▁responsible	-21535
+▁resurrected	-21536
+▁reticulatum	-21537
+▁rynchospora	-21538
+▁sapindaceae	-21539
+▁sarmentosum	-21540
+▁sclopacidae	-21541
+▁secondments	-21542
+▁selaginella	-21543
+▁setifikeiti	-21544
+▁sipitangata	-21545
+▁situloapeli	-21546
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+▁smaradginum	-21548
+▁sonchifolia	-21549
+▁spectabilis	-21550
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+▁spodiopygia	-21552
+▁stenolobium	-21553
+▁stepbrother	-21554
+▁straightout	-21555
+▁stubbortnly	-21556
+▁surrounding	-21557
+▁sustainable	-21558
+▁syringodium	-21559
+▁tahitiensis	-21560
+▁talamoafisi	-21561
+▁talatalaaki	-21562
+▁tamatauhala	-21563
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+▁tangatasito	-21565
+▁tangilāulau	-21566
+▁tatafumeimu	-21567
+▁tauhakeleva	-21568
+▁taungapuaka	-21569
+▁taxithelium	-21570
+▁tengafefeka	-21571
+▁terrestrial	-21572
+▁territories	-21573
+▁teutalōnome	-21574
+▁transferred	-21575
+▁translators	-21576
+▁transparent	-21577
+▁tricholaena	-21578
+▁trichomanes	-21579
+▁triumvirate	-21580
+▁tuberculata	-21581
+▁tutukirangi	-21582
+▁tāufatoutai	-21583
+▁unconscious	-21584
+▁unguiculata	-21585
+▁unilaterale	-21586
+▁unwillingly	-21587
+▁urticifolia	-21588
+▁vahedivisio	-21589
+▁vaingangana	-21590
+▁vaonukonuka	-21591
+▁vavaepaluna	-21592
+▁verbenaceae	-21593
+▁volkmeriana	-21594
+▁welwitschia	-21595
+▁whitmeeanus	-21596
+▁wikstroemia	-21597
+▁wintermelon	-21598
+▁withdrawing	-21599
+▁worshipping	-21600
+▁yunckereana	-21601
+▁zizanioides	-21602
+▁équatoriale	-21603
+▁тонганської	-21604
+aclassisclass	-21605
+ahingaspecies	-21606
+autoconfirmed	-21607
+bartramiaceae	-21608
+calymperaceae	-21609
+cephalocarida	-21610
+collemataceae	-21611
+dicranopteris	-21612
+elekitulonika	-21613
+endopterygota	-21614
+erythrophylla	-21615
+euphorbiaceae	-21616
+fakafehoanaki	-21617
+familiafamily	-21618
+hybridisation	-21619
+interestingly	-21620
+itahalautenga	-21621
+kilikilitefua	-21622
+lasinaitakala	-21623
+lycopodiaceae	-21624
+melastomaceae	-21625
+nakulukilangi	-21626
+nyctaginaceae	-21627
+schenaultiana	-21628
+tapukuhikuloa	-21629
+tatakamotonga	-21630
+thymelaeaceae	-21631
+tracheophytes	-21632
+▁acknowledged	-21633
+▁acridotheres	-21634
+▁advantageous	-21635
+▁aerobryopsis	-21636
+▁agricultural	-21637
+▁alangamahaki	-21638
+▁appointments	-21639
+▁archipelagic	-21640
+▁aristocratic	-21641
+▁aristolochia	-21642
+▁arminjoniana	-21643
+▁arthropteris	-21644
+▁asparagopsis	-21645
+▁aspleniaceae	-21646
+▁astronomical	-21647
+▁aurantifolia	-21648
+▁bandeirantes	-21649
+▁battleground	-21650
+▁benghalensis	-21651
+▁biodiversity	-21652
+▁botebotekoro	-21653
+▁brachymenium	-21654
+▁brassicaceae	-21655
+▁campanulatus	-21656
+▁carolinensis	-21657
+▁cassythaceae	-21658
+▁caterpillars	-21659
+▁catharanthus	-21660
+▁chamaecrista	-21661
+▁charadriidae	-21662
+▁choctawensis	-21663
+▁chrysophylla	-21664
+▁cinnabarinus	-21665
+▁collaterally	-21666
+▁colloquially	-21667
+▁consolidated	-21668
+▁consultative	-21669
+▁contemporain	-21670
+▁contemporary	-21671
+▁crassicaulis	-21672
+▁crownprinces	-21673
+▁cuculiformes	-21674
+▁cyanthillium	-21675
+▁cyrtostachys	-21676
+▁dictyosperma	-21677
+▁drikanaicebe	-21678
+▁durangoensis	-21679
+▁démocratique	-21680
+▁elephantopus	-21681
+▁establishing	-21682
+▁euphausiacea	-21683
+▁experiencing	-21684
+▁extinguished	-21685
+▁fahitalotalo	-21686
+▁fakafaifekau	-21687
+▁fakafaingata	-21688
+▁fakafalealea	-21689
+▁fakahulungia	-21690
+▁fakakalāvite	-21691
+▁fakakavakava	-21692
+▁fakakilibati	-21693
+▁fakakilipati	-21694
+▁fakakuongamu	-21695
+▁fakalafalafa	-21696
+▁fakalahiange	-21697
+▁fakamalumalu	-21698
+▁fakamatāpule	-21699
+▁fakaonopooni	-21700
+▁fakapisilama	-21701
+▁fakapukapuka	-21702
+▁fakapulipuli	-21703
+▁fakatohitapu	-21704
+▁fakatokilalo	-21705
+▁fakatongalea	-21706
+▁fakatumotuma	-21707
+▁fakauōmahalo	-21708
+▁fakavainiaku	-21709
+▁fakavavevave	-21710
+▁faleotekimoa	-21711
+▁fataimoamanu	-21712
+▁fatanitavake	-21713
+▁fetongitongi	-21714
+▁filiaipulotu	-21715
+▁fonuakihehau	-21716
+▁fualanumoana	-21717
+▁fuefakahinga	-21718
+▁fuoformaform	-21719
+▁gaudichaudii	-21720
+▁geographical	-21721
+▁gomphocarpus	-21722
+▁gonagasriika	-21723
+▁graminifolia	-21724
+▁hanatuikahoa	-21725
+▁hemimetabola	-21726
+▁heteroscelus	-21727
+▁higienópolis	-21728
+▁hikuhikusila	-21729
+▁hilifakinima	-21730
+▁histiopteris	-21731
+▁historically	-21732
+▁holometabola	-21733
+▁houmakelikao	-21734
+▁integriflora	-21735
+▁integrifolia	-21736
+▁introduction	-21737
+▁isoetifolium	-21738
+▁isolationist	-21739
+▁isopterygium	-21740
+▁kaloafutonga	-21741
+▁kaloafutunga	-21742
+▁kaloafūtonga	-21743
+▁kasakisitani	-21744
+▁kauvotovotua	-21745
+▁konifelenisi	-21746
+▁kumukumutane	-21747
+▁lagopodoides	-21748
+▁lanuengeenga	-21749
+▁lanumelomelo	-21750
+▁leucocephala	-21751
+▁levulevukefu	-21752
+▁listspicture	-21753
+▁loholohotaha	-21754
+▁lycopodiella	-21755
+▁macromitrium	-21756
+▁macrophyllus	-21757
+▁madagasikara	-21758
+▁maealiuakimu	-21759
+▁mafatukituki	-21760
+▁magyarország	-21761
+▁mailetalamai	-21762
+▁manupunakula	-21763
+▁marivelensis	-21764
+▁matahihiloku	-21765
+▁matakasikali	-21766
+▁matakonikoni	-21767
+▁matamatakovi	-21768
+▁matamatamanu	-21769
+▁matamatapeka	-21770
+▁matamotomoto	-21771
+▁matavelivali	-21772
+▁maximilianii	-21773
+▁measurements	-21774
+▁minutirameum	-21775
+▁miscarriages	-21776
+▁moemoepoongi	-21777
+▁moengangongo	-21778
+▁mongomongatu	-21779
+▁motulekaleka	-21780
+▁movetevetetu	-21781
+▁naitingikale	-21782
+▁naqalanaqala	-21783
+▁nesofregetta	-21784
+▁northeastern	-21785
+▁obtusiuscula	-21786
+▁olivaeformis	-21787
+▁ophioglossum	-21788
+▁organization	-21789
+▁overstressed	-21790
+▁pachycephala	-21791
+▁pangiakaetau	-21792
+▁participants	-21793
+▁particulares	-21794
+▁passionfruit	-21795
+▁pedicellatus	-21796
+▁pentastichum	-21797
+▁performances	-21798
+▁perspectives	-21799
+▁phaseoloides	-21800
+▁philippensis	-21801
+▁phyllocarida	-21802
+▁phymatosorus	-21803
+▁pitangueiras	-21804
+▁plantagineum	-21805
+▁planthoppers	-21806
+▁plectranthus	-21807
+▁polonisiuiki	-21808
+▁polystachyas	-21809
+▁porphyraceus	-21810
+▁potamogetona	-21811
+▁prerogatives	-21812
+▁presidential	-21813
+▁psophocarpus	-21814
+▁ptychosperma	-21815
+▁ramosissimum	-21816
+▁raphidophora	-21817
+▁regeneration	-21818
+▁reintroduced	-21819
+▁reinwardhana	-21820
+▁relinquished	-21821
+▁reservations	-21822
+▁rimatarensis	-21823
+▁rotundifolia	-21824
+▁sanelolisboa	-21825
+▁schleinitzia	-21826
+▁scolopacidae	-21827
+▁seacucumbers	-21828
+▁sempervivens	-21829
+▁serratifolia	-21830
+▁shortcomings	-21831
+▁significance	-21832
+▁sociospatial	-21833
+▁solenostemon	-21834
+▁stenochlaena	-21835
+▁stenopodidea	-21836
+▁stictocardia	-21837
+▁stoloniferus	-21838
+▁strobilifera	-21839
+▁subcontinent	-21840
+▁suffruticosa	-21841
+▁surrendering	-21842
+▁symmetricals	-21843
+▁tavatavamanu	-21844
+▁tereticornis	-21845
+▁thunbergiana	-21846
+▁todirhamphus	-21847
+▁tokotolutapu	-21848
+▁tradescantia	-21849
+▁translations	-21850
+▁tukilamulamu	-21851
+▁tupaolelangi	-21852
+▁tupouveihola	-21853
+▁türkmenistan	-21854
+▁uisikonisini	-21855
+▁unpleasantly	-21856
+▁urticaefolia	-21857
+▁utulangivaka	-21858
+▁vahesinotolu	-21859
+▁vanikoriense	-21860
+▁veratrifolia	-21861
+▁vilemisitati	-21862
+▁vutikaumodro	-21863
+▁wagadrogadro	-21864
+asapaisanimālō	-21865
+epotupotumālie	-21866
+gleicheniaceae	-21867
+holothurioidea	-21868
+marchantiaceae	-21869
+thelephoraceae	-21870
+umuiiakinauaki	-21871
+utangahunuhunu	-21872
+▁alternanthera	-21873
+▁alternifolius	-21874
+▁amphionidacea	-21875
+▁astrostephana	-21876
+▁atropurpureum	-21877
+▁atropurpureus	-21878
+▁bekabekairaga	-21879
+▁boehmerioides	-21880
+▁bougainvillea	-21881
+▁callistachyum	-21882
+▁candenatensis	-21883
+▁chrysophyllum	-21884
+▁clytorhynchus	-21885
+▁commemoration	-21886
+▁contributants	-21887
+▁controversial	-21888
+▁cyathothecium	-21889
+▁diametrically	-21890
+▁dicranopteris	-21891
+▁dieffenbachia	-21892
+▁disrespectful	-21893
+▁echinodermata	-21894
+▁elattostachys	-21895
+▁engeengamaama	-21896
+▁equisetophyta	-21897
+▁erythrophylla	-21898
+▁establishment	-21899
+▁fakaeonopooni	-21900
+▁fakafehoanaki	-21901
+▁fakafilipaina	-21902
+▁fakakomesiale	-21903
+▁fakakomipiuta	-21904
+▁fakalatinalea	-21905
+▁fakalotofonua	-21906
+▁fakaongoongoa	-21907
+▁fakapilitāniá	-21908
+▁fakasiokalafi	-21909
+▁fakatautehina	-21910
+▁fakavahefonua	-21911
+▁fakawikipedia	-21912
+▁fatafehimaile	-21913
+▁finlaysoniana	-21914
+▁franklinensis	-21915
+▁fuepulupulutu	-21916
+▁fāfākongatahi	-21917
+▁geminimāhanga	-21918
+▁guatemalensis	-21919
+▁guerreroensis	-21920
+▁halaevalukovi	-21921
+▁incertainties	-21922
+▁inconspicious	-21923
+▁incurvifolium	-21924
+▁inexperienced	-21925
+▁kavoronaisivi	-21926
+▁kermadecensis	-21927
+▁kulokulamaama	-21928
+▁lagopodioides	-21929
+▁lanukulamaama	-21930
+▁lanupulūmaama	-21931
+▁laumafatifati	-21932
+▁leafakalātina	-21933
+▁leavenworthii	-21934
+▁leolaionelion	-21935
+▁liechtenstein	-21936
+▁makalangahiva	-21937
+▁margaritifera	-21938
+▁mastamocemoce	-21939
+▁melanothecium	-21940
+▁moegaotekimoa	-21941
+▁nakulukilangi	-21942
+▁nymphaeifolia	-21943
+▁oblongifolius	-21944
+▁ofigenusgenus	-21945
+▁oppositifolia	-21946
+▁passionflower	-21947
+▁penduliflorus	-21948
+▁penisilivenia	-21949
+▁phylumdivisio	-21950
+▁polypodiaceae	-21951
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+▁pronunciation	-21953
+▁pseudolinnaei	-21954
+▁rhynchelytrum	-21955
+▁sagittifolium	-21956
+▁scherzerianum	-21957
+▁schizophyllum	-21958
+▁semperflorens	-21959
+▁sesquipedalis	-21960
+▁significantly	-21961
+▁sphagneticola	-21962
+▁strobilanthes	-21963
+▁substantiated	-21964
+▁subterraneous	-21965
+▁talatupufonua	-21966
+▁tangatatokoni	-21967
+▁tapukuhikuloa	-21968
+▁tetragmolobus	-21969
+▁tettigoniidae	-21970
+▁thalassinidea	-21971
+▁thelechitonia	-21972
+▁tithymaloides	-21973
+▁tracheophytes	-21974
+▁universitária	-21975
+▁unprecedented	-21976
+▁uolevaheliaki	-21977
+▁valetoamamaha	-21978
+▁venezuelensis	-21979
+▁vorovoroisivi	-21980
+▁xanthophyllum	-21981
+auriculariaceae	-21982
+cephalochordata	-21983
+davvisámegiella	-21984
+ekisitulimātūla	-21985
+giniginiofolaga	-21986
+grossulariaceae	-21987
+noauēkongeriket	-21988
+orthotrichaceae	-21989
+phyllogoniaceae	-21990
+selaginellaceae	-21991
+óëfooahoihoifua	-21992
+▁administrators	-21993
+▁amorphophallus	-21994
+▁angafulikivanu	-21995
+▁batimadramadra	-21996
+▁belenivavalagi	-21997
+▁centrafricaine	-21998
+▁communications	-21999
+▁cyclandrophora	-22000
+▁daigremontiana	-22001
+▁differentiated	-22002
+▁disambiguation	-22003
+▁disappointment	-22004
+▁ectropothecium	-22005
+▁eucharidifolia	-22006
+▁eumalacostraca	-22007
+▁fakafalemahaki	-22008
+▁fakakalakalasi	-22009
+▁fakakilisipasi	-22010
+▁fakalongolongo	-22011
+▁fakamālohiange	-22012
+▁fakatekinikale	-22013
+▁fakatovavevave	-22014
+▁fakatupulekina	-22015
+▁fakavaingatutu	-22016
+▁fehokohokotaki	-22017
+▁fetonginaunama	-22018
+▁flabelliformis	-22019
+▁geographically	-22020
+▁kapakauhingano	-22021
+▁kavahuhulalahi	-22022
+▁longibracteata	-22023
+▁lophotrochozoa	-22024
+▁makafaakinanga	-22025
+▁messerschmidia	-22026
+▁ngalumoetutulu	-22027
+▁oppositifolium	-22028
+▁palimāsisanitā	-22029
+▁phylumdivision	-22030
+▁pseudobulweria	-22031
+▁psychoanalysis	-22032
+▁puntagordensis	-22033
+▁quadrangularis	-22034
+▁responsibility	-22035
+▁sasikatesiuani	-22036
+▁schizostephana	-22037
+▁simplicifolium	-22038
+▁stachytarpheta	-22039
+▁torricellensis	-22040
+▁totonivavalagi	-22041
+▁tūkimenisitani	-22042
+▁tūpakapakanava	-22043
+▁unacknowledged	-22044
+▁unincorporated	-22045
+▁vahemangomanga	-22046
+▁vailahimoekaho	-22047
+▁vaofumoolosega	-22048
+▁verbascifolium	-22049
+dendrobranchiata	-22050
+dennstaedtiaceae	-22051
+hydrocharitaceae	-22052
+hymenophyllaceae	-22053
+ivarietasvariety	-22054
+sematophyllaceae	-22055
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+▁allmusicmichael	-22057
+▁brachiolejeunea	-22058
+▁coromandelianum	-22059
+▁eleutheranthera	-22060
+▁faifakakehekehe	-22061
+▁fakaemāmanilahi	-22062
+▁fakapolinisiamu	-22063
+▁fakatekinolosia	-22064
+▁fakatongahingoa	-22065
+▁fangafalikipako	-22066
+▁grossulariaceae	-22067
+▁ihavandhippolhu	-22068
+▁kolokolokahakai	-22069
+▁leschenaultiana	-22070
+▁lāvakavaoleleva	-22071
+▁mafatakipingikī	-22072
+▁maninifualalahi	-22073
+▁moerenhoutianus	-22074
+▁norgekongeriket	-22075
+▁nummularifolius	-22076
+▁ophioglossaceae	-22077
+▁orthorrhynchium	-22078
+▁portamonetensis	-22079
+▁tabernaemontana	-22080
+▁uruuruvaikirita	-22081
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+ksb	-22083
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+qip	-22085
+àìj	-22086
+êaf	-22087
+ösê	-22088
+ürk	-22089
+īyā	-22090
+виј	-22091
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+ине	-22093
+лар	-22094
+ови	-22095
+олі	-22096
+рос	-22097
+усь	-22098
+язы	-22099
+іне	-22100
+קיי	-22101
+رات	-22102
+عرا	-22103
+ليب	-22104
+ونس	-22105
+▁جي	-22106
+abel	-22107
+dsig	-22108
+ewed	-22109
+idan	-22110
+lgië	-22111
+matr	-22112
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+rdoo	-22115
+reyi	-22116
+rītā	-22117
+undo	-22118
+vavá	-22119
+void	-22120
+àìjí	-22121
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+гора	-22123
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+ська	-22128
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+іпед	-22131
+קיינ	-22132
+مارا	-22133
+يتان	-22134
+▁мол	-22135
+▁срб	-22136
+▁جيب	-22137
+adsig	-22138
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+gmolo	-22150
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+plazi	-22161
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+sekis	-22169
+stian	-22170
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+vizer	-22176
+vizra	-22177
+xperi	-22178
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+авија	-22181
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+▁(~~~	-22186
+▁afoe	-22187
+▁alyx	-22188
+▁ascd	-22189
+▁craw	-22190
+▁edir	-22191
+▁está	-22192
+▁glab	-22193
+▁hubb	-22194
+▁iraj	-22195
+▁moça	-22196
+▁naìj	-22197
+▁nioo	-22198
+▁penr	-22199
+ucc	-22200
+дон	-22201
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+кра	-22203
+мон	-22204
+ора	-22205
+рац	-22206
+сти	-22207
+тон	-22208
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+ريا	-22211
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+rews	-22213
+стон	-22214
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+▁nūn	-22216
+▁pyg	-22217
+▁pyr	-22218
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+ncial	-22222
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+unsha	-22228
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+ākuli	-22230
+▁quad	-22231
+▁quwa	-22232
+▁trun	-22233
+▁xavi	-22234
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+▁manogi	-7141
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+▁momona	-7146
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+▁pilosa	-7168
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+▁teaupa	-7207
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+fakatātā	-7240
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+▁filimoe	-7285
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+▁kaufusi	-7301
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+▁kiupeki	-7303
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+▁leihuni	-7309
+▁leimātu	-7310
+▁lekooti	-7311
+▁leopard	-7312
+▁limited	-7313
+▁lolohea	-7314
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+▁malēsia	-7320
+▁mamange	-7321
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+▁mianimā	-7326
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+▁mātanga	-7329
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+▁concolor	-7399
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+▁defeated	-7403
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+▁fakafeta	-7408
+▁fakafonu	-7409
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+▁fakamaau	-7411
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+▁fukofuka	-7421
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+▁vahamama	-7500
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+▁fakakātoa	-7520
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+▁jellyfish	-7529
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+▁kamipōtia	-7532
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+▁fakahinitī	-7586
+▁fakakakato	-7587
+▁fakapuputu	-7588
+▁fakatulolo	-7589
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+▁fehokotaki	-7591
+▁fehāngaaki	-7592
+▁floribunda	-7593
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+▁gooseberry	-7595
+▁hengihengi	-7596
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+▁hungakalia	-7598
+▁kainikavea	-7599
+▁kilisimasi	-7600
+▁kilisitahi	-7601
+▁kolonitini	-7602
+▁kulenatini	-7603
+▁kīkisitani	-7604
+▁laurifolia	-7605
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+▁longiflora	-7607
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+▁nightshade	-7609
+▁odontonema	-7610
+▁palatavake	-7611
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+▁puipuifatu	-7618
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+▁fakamatelie	-7642
+▁fakaongosia	-7643
+▁fakasosiale	-7644
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+▁freycinetia	-7646
+▁halatoaongo	-7647
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+▁predecessor	-7657
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+afikānisitani	-7660
+aposetolopulū	-7661
+sarcopterygii	-7662
+tualipalulali	-7663
+▁brasiliensis	-7664
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+▁dennstaedtia	-7666
+▁fakatupulaki	-7667
+▁fanongonongo	-7668
+▁independence	-7669
+▁kalonikakala	-7670
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