IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages

no code implementations • ACL (WAT) 2021 • Sourav Kumar, Salil Aggarwal, Dipti Sharma

For the scope of this task, we have built multilingual systems for 20 translation directions namely English-Indic (one-to- many) and Indic-English (many-to-one).

NMT Translation

Efficient Multilingual Text Classification for Indian Languages

no code implementations • RANLP 2021 • Salil Aggarwal, Sourav Kumar, Radhika Mamidi

Can a classification model trained on one Indian language be reused for other Indian languages?

Multilingual text classification text-classification +2

Multilingual Multi-Domain NMT for Indian Languages

no code implementations • RANLP 2021 • Sourav Kumar, Salil Aggarwal, Dipti Sharma

India is known as the land of many tongues and dialects.

Machine Translation NMT +1

SUKHAN: Corpus of Hindi Shayaris annotated with Sentiment Polarity Information

no code implementations • ICON 2020 • Salil Aggarwal, Abhigyan Ghosh, Radhika Mamidi

To the best of our knowledge, this is the first corpus of Hindi shayaris annotated with sentiment polarity information.

Sentiment Analysis Sentiment Classification

How do different factors Impact the Inter-language Similarity? A Case Study on Indian languages

no code implementations • ACL 2021 • Sourav Kumar, Salil Aggarwal, Dipti Misra Sharma, Radhika Mamidi

India is one of the most linguistically diverse nations of the world and is culturally very rich.

Machine Translation Sentiment Analysis +1