Update README.md

Author: tiberiu44

README.md

@@ -384,8 +384,8 @@ Memory networks are implemented in [MemNN](https://github.com/facebook/MemNN).
 ## Multilingual NLP Frameworks
 
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-* [UDPipe](https://github.com/ufal/udpipe) : Trainable pipeline for tokenizing, tagging, lemmatizing and parsing Universal Treebanks and other CoNLL-U file
-* [NLP-Cube](https://github.com/adobe/NLP-Cube) : Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing 
+* [UDPipe](https://github.com/ufal/udpipe) : Trainable pipeline for tokenizing, tagging, lemmatizing and parsing Universal Treebanks and other CoNLL-U file. Primarily written in C++, offers a fast and reliable solution for multilingual NLP processing.
+* [NLP-Cube](https://github.com/adobe/NLP-Cube) : Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing. New platform, written in Python with Dynet 2.0. Offers standalone (CLI/Python bindings) and server functionality (REST API).
 
 ## NLP in Korean