fixed README.md

README.md

@@ -56,7 +56,7 @@ The model was trained on a dataset that contains multilingual koos from Jan 2020
 
 
 - **Model type:** BERT based pretrained model
-- **Language(s) (NLP):** assamese, bengali, english, gujarati, hindi, kannada, malayalam, marathi, nigeran english, oriya, punjabi, tamil, telugu
+- **Language(s) (NLP):** assamese, bengali, english, gujarati, hindi, kannada, malayalam, marathi, oriya, punjabi, tamil, telugu
 - **License:** KooBERT released under the MIT License.
 
 ## Uses
@@ -166,7 +166,6 @@ Following is the distribution of tokens over languages:
 | kannada          | 2,653,860   | 12.04577107         | 31,967,790   |
 | malayalam        | 71,370      | 10.32744851         | 737,070      |
 | marathi          | 1,894,080   | 14.81544602         | 28,061,640   |
-| nigeran english  | 255,330     | 17.11350018         | 4,369,590    |
 | oriya            | 87,930      | 14.1941317          | 1,248,090    |
 | punjabi          | 940,260     | 18.59961075         | 17,488,470   |
 | tamil            | 1,687,710   | 12.12147822         | 20,457,540   |