diff --git a/doc/src/tts_text_front_end.md b/doc/src/tts_text_front_end.md
index 93d2d60fb..6eb9ae5d9 100644
--- a/doc/src/tts_text_front_end.md
+++ b/doc/src/tts_text_front_end.md
@@ -13,7 +13,7 @@ There are various libraries including some of the most popular ones like NLTK, S
 
 ## Text Normalization(文本正则)
 
-The **basic preprocessing steps** that occur in English NLP, including data cleaning,stemming/lemmatization, tokenization and stop words. **not all of these steps are necessary for Chinese text data!**  
+The **basic preprocessing steps** that occur in English NLP, including data cleaning, stemming/lemmatization, tokenization and stop words.  **not all of these steps are necessary for Chinese text data!**  
 
 ### Lexicon Normalization
 
@@ -33,7 +33,7 @@ These “tags” label the part of speech. There are 24 part of speech tags and
 
 In NLP, **stop words are “meaningless” words** that make the data too noisy or ambiguous. 
 
-Instead of manually removing them, could import the `**stopwordsiso**` package for a full list of Chinese stop words.More information can be found [here](https://pypi.org/project/stopwordsiso/).And with this, we can easily create code to filter out any stop words in large text data.
+Instead of manually removing them, you could import the `**stopwordsiso**` package for a full list of Chinese stop words. More information can be found [here](https://pypi.org/project/stopwordsiso/). And with this, we can easily create code to filter out any stop words in large text data.
 
 ```python
 !pip install stopwordsiso
@@ -188,4 +188,4 @@ TN: 基于规则的方法
 ## Reference
 * [Text Front End](https://slyne.github.io/%E5%85%AC%E5%BC%80%E8%AF%BE/2020/10/03/TTS1/)
 * [Chinese Natural Language (Pre)processing: An Introduction](https://towardsdatascience.com/chinese-natural-language-pre-processing-an-introduction-995d16c2705f)
-* [Beginner’s Guide to Sentiment Analysis for Simplified Chinese using SnowNLP](https://towardsdatascience.com/beginners-guide-to-sentiment-analysis-for-simplified-chinese-using-snownlp-ce88a8407efb)
+* [Beginner’s Guide to Sentiment Analysis for Simplified Chinese using SnowNLP](https://towardsdatascience.com/beginners-guide-to-sentiment-analysis-for-simplified-chinese-using-snownlp-ce88a8407efb)
\ No newline at end of file