Update README.md

README.md

@@ -7,5 +7,5 @@ datasets:
 
 # BERT base Japanese (character-level tokenization with whole word masking, jawiki-20200831)
 
-This pretrained model is almost same to [cl-tohoku/bert-base-japanese-char-v2](https://huggingface.co/cl-tohoku/bert-base-japanese-char-v2) but do not need `fugashi` or `unidic_lite`.
+This pretrained model is almost the same as [cl-tohoku/bert-base-japanese-char-v2](https://huggingface.co/cl-tohoku/bert-base-japanese-char-v2) but do not need `fugashi` or `unidic_lite`.
 The only difference is in `word_tokenzer` property (specify `basic` instead of `mecab`) in `tokenizer_config.json`.