Natural Language Processing

Natural Language Processing

Natural language processing (NLP) has recently come under the lime for representing and analysing human language computationally. It is a tract of Artificial Intelligence (AI) and Linguistics, dedicated to make computers understand the written or spoken statements or words in human languages. It has spread its applications in various fields such as machine translation, email spam detection, information extraction, summarization, medical, and question answering etc. The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable. And it booming thanks to the huge improvements in the access to data and the increase in computational power, which are allowing practitioners to achieve meaningful results in areas like healthcare, media, finance and human resources, among others. The field of interested topics of NLP are enlisted below:

  • Information Retrieval
  • Machine Translation
  • Question Answering
  • Text Summarization
  • Machine Intelligence
  • Social Media Analytics
  • Sentiment Analysis
  • Speech & Image Processing

Faculty Members

Student Members

 Ph. D:

  • Mr. Loitongbam Sanayai Meetei, PhD Student
  • Mr. Pankaj Kundan Dadure, PhD Student
  • Mr. Sahinur Rehman Laskar, PhD Student
  • Ms. Ringki Das, PhD Student
  • Mr. Alok Singh, PhD Student
  • Mr. Salam Michael Singh, PhD Student

 M. Tech:

  • Ms. Tawmo, M. Tech Scholar

 B. Tech:

  • Jyotisman Borah, B. Tech Scholar
  • Swagat Shubham Bhuyan, B. Tech Scholar
  • Saranga K. Mahanta, B. Tech Scholar


  • Anwesha Das (M. Tech.)
  • Debartha Saha (M. Tech.)
  • Mr. Vikrant Rajput (M. Tech.)
  • Mr. Gebreerufael Wondie (M. Tech.)
  • Divyansha (Undergrad)
  • Abdullah Faiz Ur Rahman Khilji (Undergrad)
  • Apoorva Vikram Singh (Undergrad)
  • Abinash Dutta (Undergrad)
  • Manish Kumar (Undergrad)
  • Puja Jain (Undergrad)
  • Sharath Chandra Punna (Undergrad)


[1] Pankaj Dadure, Partha Pakray, and Sivaji Bandyopadhyay. “Embedding and Generalization of Formula with Context in the Retrieval of Mathematical Information“, Journal of King Saud University – Computer and Information Sciences (SCIE indexed, Impact Factor 13.473), ISSN: 1319-1578 (Q1 in SJR citation index) [2021]

[2] Sahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Partha Pakray, Sivaji Bandyopadhyay, “Improved Neural Machine Translation for Low-Resource English-Assamese Pair“, Journal of Intelligent & Fuzzy Systems, Impact Factor: 1.851. (Q2 in SJR citation index) (will appear, 2021)

[3] Abdullah Khilji, Riyanka Manna, Sahinur Laskar, Partha Pakray, Dipankar Das, Sivaji Bandyopadhyay, Alexander Gelbukh. “CookingQA: Answering Questions and Recommending Recipes based on Ingredients“, Arabian Journal for Science and Engineering, Springer, Impact Factor: 2.334, SCIE. (Q2 in SJR citation index) (2021)

[4] Abdullah Khilji, Riyanka Manna, Sahinur Laskar, Partha Pakray, Dipankar Das, Sivaji Bandyopadhyay, Alexander Gelbukh. “Question Classification and Answer Extraction for Developing a Cooking QA System“, Computación y Sistemas – Thematic Issue on Language & Knowledge Engineering (Guest editors: D. Pinto, B. Beltrán, A. Vázquez), Vol. 24, No. 2, 2020, (ESCI, Scopus Indexed) (Q4 in SJR citation index) (2020)

[5] Alok Singh, Thoudam Doren Singh, Sivaji Bandyopadhyay. An encoder-decoder based framework for Hindi image caption generation. Multimed Tools Appl (2021). (SCIE journal)

[6] Alok Singh, Thoudam Doren Singh, Sivaji Bandyopadhyay. Attention based video captioning framework for Hindi. Multimedia Systems (2021). (SCI journal)

[7] Loitongbam Sanayai Meetei, Thoudam Doren Singh, Borgohain, S.K. et al. Low resource language specific pre-processing and features for sentiment analysis task. Lang Resources & Evaluation (2021). (SCIE journal)

[8] Thoudam Doren Singh, Divyansha, A. V. Singh, A. Sachan and A. F. U. R. Khilji, “Debunking Fake News by Leveraging Speaker Credibility and BERT Based Model,” 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2020, pp. 960-968, doi: 10.1109/WIIAT50758.2020.00147

[9] Loitongbam Sanayai Meetei, Thoudam Doren Singh, Sivaji Bandyopadhyay, Mihaela Vela and Josef van Genabith, English to Manipuri and Mizo Post-Editing Effort and its Impact on Low Resource Machine Translation, Proceedings of the 17th International Conference on Natural Language Processing (ICON), 2020, Pages 50–59, IIT Patna, India,