4 citations · 7 across the 12 of their papers we have counts for
12 papers
Machine Translation by Projecting Text into the Same Phonetic-Orthographic Space Using a Common Encoding
Amit Kumar, Shantipriya Parida, Ajay Pratap +1
The use of subword embedding has proved to be a major innovation in Neural Machine Translation (NMT). It helps NMT to learn better context vectors for Low Resource Languages (LRLs)…
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning
Amit Kumar, Ajay Pratap, Anil Kumar Singh
Generative Adversarial Networks (GAN) offer a promising approach for Neural Machine Translation (NMT). However, feeding multiple morphologically languages into a single model durin…
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques
Amit Kumar, Rupjyoti Baruah, Ajay Pratap +2
One of the significant challenges of Machine Translation (MT) is the scarcity of large amounts of data, mainly parallel sentence aligned corpora. If the evaluation is as rigorous a…
Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi
Rajesh Kumar Mundotiya, Shantanu Kumar, Ajeet kumar +5
In Natural Language Processing (NLP) pipelines, Named Entity Recognition (NER) is one of the preliminary problems, which marks proper nouns and other named entities such as Locatio…
Linguistic Resources for Bhojpuri, Magahi and Maithili: Statistics about them, their Similarity Estimates, and Baselines for Three Applications
Rajesh Kumar Mundotiya, Manish Kumar Singh, Rahul Kapur +2
Corpus preparation for low-resource languages and for development of human language technology to analyze or computationally process them is a laborious task, primarily due to the…
IIT (BHU) Varanasi at MSR-SRST 2018: A Language Model Based Approach for Natural Language Generation
Shreyansh Singh, Avi Chawla, Ayush Sharma +1
This paper describes our submission system for the Shallow Track of Surface Realization Shared Task 2018 (SRST'18). The task was to convert genuine UD structures, from which word o…