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  The **Twi Words Dataset** is a curated list of over **50,000 unique words** in Twi, a major language spoken in Ghana. This dataset aims to support **Natural Language Processing (NLP)** tasks in Twi, particularly for low-resource language modeling, classification, and lexicon development.
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- ## Dataset Structure
 
 
 
 
 
 
 
 
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  ### Data Fields
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- - `word` (string): A word in the Twi language
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- - `frequency` (int): Number of occurrences of the word in the source corpus
 
 
 
 
 
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- ### Example
 
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- ```json
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- {
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- "word": "agya",
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- "frequency": 892
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- }
 
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  The **Twi Words Dataset** is a curated list of over **50,000 unique words** in Twi, a major language spoken in Ghana. This dataset aims to support **Natural Language Processing (NLP)** tasks in Twi, particularly for low-resource language modeling, classification, and lexicon development.
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+ ## Purpose
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+
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+ This dataset is created to support:
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+
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+ - NLP development for low-resource African languages
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+ - Spell checkers and autocorrect models
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+ - Text-to-speech and speech-to-text training
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+ - Language modeling and word embeddings
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+ - Educational and lexicographic tools
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  ### Data Fields
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+ Each row in the dataset contains:
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+
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+ | Word | Frequency |
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+ |--------------|-----------|
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+ | twi_word_1 | 1234 |
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+ | twi_word_2 | 987 |
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+ | ... | ... |
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+ - `Word`: A unique word in Twi extracted from a large corpus.
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+ - `Frequency`: The number of times the word appears in the corpus, indicating its usage frequency.
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