Update README.md

Author: BrikerMan

README.md

@@ -141,7 +141,8 @@ Bayesian, statistics and Linguistics approaches for Natural Language Processing
   - [Multilingual Latent Dirichlet Allocation (LDA)](https://github.com/ArtificiAI/Multilingual-Latent-Dirichlet-Allocation-LDA) - A multilingual and extensible document clustering pipeline
   - [NLP Architect](https://github.com/NervanaSystems/nlp-architect) - A library for exploring the state-of-the-art deep learning topologies and techniques for NLP and NLU
   - [Flair](https://github.com/zalandoresearch/flair) - A very simple framework for state-of-the-art multilingual NLP built on PyTorch. Includes BERT, ELMo and Flair embeddings.
-  - [Kashgari](https://github.com/BrikerMan/Kashgari) - Simple and powerful NLP framework, build your state-of-art model in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS) and text classification tasks. Includes BERT and word2vec embedding.
+  - [Kashgari](https://github.com/BrikerMan/Kashgari) - Simple, Keras-powered multilingual NLP framework, allows you to build your models in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS) and text classification tasks. Includes BERT and word2vec embedding.
+
 
 - <a id="c++">**C++** - C++ Libraries</a> | [Back to Top](#contents)
   - [MIT Information Extraction Toolkit](https://github.com/mit-nlp/MITIE) - C, C++, and Python tools for named entity recognition and relation extraction