Update README.md

README.md

@@ -139,11 +139,11 @@ We evaluated NE-BERT against industry-standard multilingual models (mBERT and In
 
 The superiority of NE-BERT is evident when predicting missing words in low-resource languages. While generic models predict punctuation or sub-word fragments, NE-BERT predicts coherent, culturally relevant words.
 
-| Language | Input Sentence | **NE-BERT (Ours)** | mBERT | IndicBERT | XLM-R |
-| :--- | :--- | :--- | :--- | :--- | :--- |
-| **Assamese** | `মই ভাত <mask> ভাল পাওঁ।` <br>*(I like to [eat] rice)* | **খাই** (Eat) <br> *Correct Verb* | `##ি` <br> *Fragment* | `,` <br> *Punctuation* | `খুব` <br> *Adverb* |
-| **Khasi** | `Nga leit sha <mask>.` <br>*(I go to [home/market])* | **iing** (Home) <br> *Correct Noun* | `.` <br> *Period* | `s` <br> *Character* | `Allah` <br> *Hallucination* |
-| **Garo** | `Anga <mask> cha·jok.` <br>*(I [ate] ...)* | **nokni** (Of house) <br> *Real Word* | `-` <br> *Symbol* | `.` <br> *Period* | `,` <br> *Comma* |
+| Language | Input Sentence | **NE-BERT (Ours)** | mBERT | IndicBERT |
+| :--- | :--- | :--- | :--- | :--- |
+| **Assamese** | `মই ভাত <mask> ভাল পাওঁ।` <br>*(I like to [eat] rice)* | **খাই** (Eat) <br> *Correct Verb* | `##ি` <br> *Fragment* | `,` <br> *Punctuation* |
+| **Khasi** | `Nga leit sha <mask>.` <br>*(I go to [home/market])* | **iing** (Home) <br> *Correct Noun* | `.` <br> *Period* | `s` <br> *Character* |
+| **Garo** | `Anga <mask> cha·jok.` <br>*(I [ate] ...)* | **nokni** (Of house) <br> *Real Word* | `-` <br> *Symbol* | `.` <br> *Period* |
 
 ### 2. Effectiveness: Perplexity (PPL)