Add UDPipe and NLP Cube

Author: NirantK

README.md

@@ -381,6 +381,12 @@ Memory networks are implemented in [MemNN](https://github.com/facebook/MemNN).
 
 * [DeepNLP-models-Pytorch](https://github.com/DSKSD/DeepNLP-models-Pytorch) has Pytorch implementations of various deep NLP models used in CS224n(Stanford) in the form of Jupyter notebooks.The models are aimed for those who are acquainted with Pytorch.
 
+## Multilingual NLP Frameworks
+
+[Back to Top](#contents)
+* [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
 
 [Back to Top](#contents)