Publications

Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages

DOI URL

HiNER: A Large Hindi Named Entity Recognition Dataset

DOI URL

Simple Measures of Bridging Lexical Divergence Help Unsupervised Neural Machine Translation for Low-Resource Languages

Unsupervised Neural Machine Translation (UNMT) approaches have gained widespread popularity in recent times. Though these approaches …
DOI URL

Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages

We explore the impact of leveraging the relatedness of languages that belong to the same family in NLP models using multilingual …
DOI URL

Language Model Pretraining and Transfer Learning for Very Low Resource Languages

This paper describes our submission for the shared task on Unsupervised MT and Very Low Resource Supervised MT at WMT 2021. We …
URL

Scrambled Translation Problem: A Problem of Denoising UNMT

In this paper and we identify an interesting kind of error in the output of Unsupervised Neural Machine Translation (UNMT) systems like …
URL

Crosslingual Embeddings are Essential in UNMT for distant languages: An English to IndoAryan Case Study

Recent advances in Unsupervised Neural Machine Translation (UNMT) has minimized the gap between supervised and unsupervised machine …
URL

Cognitively Aided Zero-Shot Automatic Essay Grading

Automatic essay grading (AEG) is a process in which machines assign a grade to an essay written in response to a topic, called the …
URL

Looking inside Noun Compounds: Unsupervised Prepositional and Free Paraphrasing using Language Models

Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour

Addressing word-order Divergence in Multilingual Neural Machine Translationfor extremely Low Resource Languages

Transfer learning approaches for Neural Machine Translation (NMT) train a NMT model on the assisting-target language pair (parent …
PDF Poster

A Study of Efficacy of Cross-lingual Word Embeddings for Indian Languages

Improving NER Tagging Performance in Low-Resource Languages via Multilingual Learning

Existing supervised solutions for Named Entity Recognition (NER) typically rely on a large annotated corpus. Collecting large amounts …
PDF Code Dataset DOI

Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER

Multilingual learning for Neural Named Entity Recognition (NNER) involves jointly training a neural network for multiple languages. …
PDF Code Dataset Slides Video

A Deep Learning Solution to Named Entity Recognition

Identifying named entities is vital for many Natural Language Processing (NLP) applications. Much of the earlier work for identifying …

Identifying Raga Similarity in Hindustani Classical Music through Distributed Representation of Raga Names

Unsupervised most frequent sense detection using word embeddings