Rajesh Kumar Mundotiya

According to our database, Rajesh Kumar Mundotiya authored at least 22 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Low Resource Neural Machine Translation: Assamese to/from Other Indo-Aryan (Indic) Languages.

Rupjyoti Baruah, Rajesh Kumar Mundotiya, Anil Kumar Singh

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

Domain Adaptation for POS Tagging with Contrastive Monotonic Chunk-wise Attention.

Rajesh Kumar Mundotiya, Arpit Mehta, Rupjyoti Baruah

Neural Process. Lett., 2022

Hierarchical self attention based sequential labelling model for Bhojpuri, Maithili and Magahi languages.

Rajesh Kumar Mundotiya, Swasti Mishra, Anil Kumar Singh

J. King Saud Univ. Comput. Inf. Sci., 2022

Integration of morphological features and contextual weightage using monotonic chunk attention for part of speech tagging.

Rajesh Kumar Mundotiya, Arpit Mehta, Rupjyoti Baruah, Anil Kumar Singh

J. King Saud Univ. Comput. Inf. Sci., 2022

TLSPG: Transfer learning-based semi-supervised pseudo-corpus generation approach for zero-shot translation.

Amit Kumar, Rajesh Kumar Mundotiya, Ajay Pratap, Anil Kumar Singh

J. King Saud Univ. Comput. Inf. Sci., 2022

2021

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, Swasti Mishra, Anil Kumar Singh

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

Forward Context-Aware Clickbait Tweet Identification System.

Rajesh Kumar Mundotiya, Naina Yadav

Int. J. Ambient Comput. Intell., 2021

2020

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, Umesh Chandra Chaudhary, Supriya Chauhan, Swasti Mishra, Praveen Gatla, Anil Kumar Singh

CoRR, 2020

Basic Linguistic Resources and Baselines for Bhojpuri, Magahi and Maithili for Natural Language Processing.

Rajesh Kumar Mundotiya, Manish Kumar Singh, Rahul Kapur, Swasti Mishra, Anil Kumar Singh

CoRR, 2020

Transformer-based Neural Machine Translation System for Hindi - Marathi: WMT20 Shared Task.

Amit Kumar, Rupjyoti Baruah, Rajesh Kumar Mundotiya, Anil Kumar Singh

Proceedings of the Fifth Conference on Machine Translation, 2020

NLPRL System for Very Low Resource Supervised Machine Translation.

Rupjyoti Baruah, Rajesh Kumar Mundotiya, Amit Kumar, Anil Kumar Singh

Proceedings of the Fifth Conference on Machine Translation, 2020

Attention-based Domain adaption Using Transfer Learning for Part-of-Speech Tagging: An Experiment on the Hindi language.

Rajesh Kumar Mundotiya, Vikrant Kumar, Arpit Mehta, Anil Kumar Singh

Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, 2020

PITS@Dravidian-CodeMix-FIRE2020: Traditional Approach to Noisy Code-Mixed Sentiment Analysis.

Nikita Kanwar, Megha Agarwal, Rajesh Kumar Mundotiya

Proceedings of the Working Notes of FIRE 2020, 2020

NLPRL Odia-English: Indic Language Neural Machine Translation System.

Rupjyoti Baruah, Rajesh Kumar Mundotiya

Proceedings of the 7th Workshop on Asian Translation, 2020

NLPRL at WNUT-2020 Task 2: ELMo-based System for Identification of COVID-19 Tweets.

Rajesh Kumar Mundotiya, Rupjyoti Baruah, Bhavana Srivastava, Anil Kumar Singh

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2019

Diversity in Recommendation System: A Cluster Based Approach.

Naina Yadav, Rajesh Kumar Mundotiya, Anil Kumar Singh, Sukomal Pal

Proceedings of the Hybrid Intelligent Systems, 2019

IRLab@IITBHU at HASOC 2019: Traditional Machine Learning for Hate Speech and Offensive Content Identification.

Anita Saroj, Rajesh Kumar Mundotiya, Sukomal Pal

Proceedings of the Working Notes of FIRE 2019, 2019

Emotion based voted classifier for Arabic irony tweet identification.

Nikita Kanwar, Rajesh Kumar Mundotiya, Megha Agarwal, Chandradeep Singh

Proceedings of the Working Notes of FIRE 2019, 2019

2018

NLPRL@INLI-2018: Hybrid gated LSTM-CNN model for Indian Native Language Identification.

Rajesh Kumar Mundotiya, Manish Kumar Singh, Anil Kumar Singh

Proceedings of the Working Notes of FIRE 2018, 2018

IIT(BHU)@IECSIL-FIRE2018: Language Independent Automatic Framework for Entity Extraction in Indian Languages.

Akanksha Mishra, Rajesh Kumar Mundotiya, Sukomal Pal

Proceedings of the Working Notes of FIRE 2018, 2018

Experiments on Deep Morphological Inflection.

Akhilesh Sudhakar, Rajesh Kumar Mundotiya, Anil Kumar Singh

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

2017

Evaluating Opinion Summarization in Ranking.

Anil Kumar Singh, Avijit Thawani, Anubhav Gupta, Rajesh Kumar Mundotiya

Proceedings of the Information Retrieval Technology, 2017