Update README.md

README.md

@@ -22,7 +22,7 @@ The training recipe was based on wsj recipe in [espnet](https://github.com/espne
 
 <!-- Provide a longer summary of what this model is. -->
 
-This model is Hybrid CTC/Attention model with pre-trained HuBERT as the encoder.
+This model is a Hybrid CTC/Attention model with pre-trained HuBERT as the encoder.
 
 This model was trained on Thai-central to be used as a supervised pre-trained model in order to be used for finetuning to other Thai dialects. (Experiment 2 in the paper).
 
@@ -41,7 +41,7 @@ from pythainlp import word_tokenize
 tokenized_sentence_list = word_tokenize(<your_sentence>)
 ```
 
-The CER and WER results on test set are:
+The CER and WER results on the test set are:
 
 CER = 2.0