Update README.md

Added the following repositories:
1. Devnagri to Roman transliteration.
2. IndIE: triple extractor for Hindi, Tamil, Telugu, and Urdu.
3. Hindi-BenchIE: an automatic triple evaluator for 112 Hindi sentences.

README.md

@@ -91,6 +91,7 @@ Indian language NLP has come a long way. We feature a few resources that are ill
 ## <a name='Libraries'></a>Libraries and Tools
 
 - [Indic NLP Library](https://github.com/anoopkunchukuttan/indic_nlp_library): Python Library for various Indian language NLP tasks like tokenization, sentence splitting, normalization, script conversion, transliteration, _etc_
+	- [Devnagri to Roman transliteration](https://github.com/ritwikmishra/devanagari-to-roman-script-transliteration) using hand-crafted rules and lexicons.
 - [pyiwn](https://github.com/riteshpanjwani/pyiwn): Python Interface to IndoWordNet
 - [Indic-OCR](https://indic-ocr.github.io/) : OCR for Indic Scripts
 - [CLTK](https://github.com/cltk/cltk/tree/master/cltk): Toolkit for many of the world's classical languages. Support for Sanskrit. Some parts of the Sanskrit library are forked from the Indic NLP Library.
@@ -99,6 +100,8 @@ Indian language NLP has come a long way. We feature a few resources that are ill
 - [Smart Sanskirt Annotator](https://github.com/iamdsc/smart-sanskrit-annotator): Annotation tool for Sanskrit [paper](http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.874.pdf)
 - [BNLP](https://github.com/sagorbrur/bnlp): Bengali language processing toolkit with tokenization, embedding, POS tagging, NER suppport
 - [CodeSwitch](https://github.com/sagorbrur/codeswitch): Language identification, POS Tagging, NER, sentiment analysis support for code mixed data including Hindi and Nepali language
+- [IndIE](https://github.com/ritwikmishra/IndIE): An Open Information Extraction tool (triple extractor) in Hindi. It is conjectured to work for Tamil, Telugu, and Urdu as well.
+- [Hindi-BenchIE](https://github.com/ritwikmishra/hindi-benchie): A triple evaluation tool for 112 Hindi sentences.
 
 ## <a name='Benchmarks'></a>Evaluation Benchmarks