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snjev310/README.md

Hi, I'm Sanjeev Kumar 👋

TCS Research Fellow · PhD Student at IIT Bombay (CSE) Working on NLP for Extremely Low-Resource Languages

About Me

I am a fifth-year PhD student at the Department of Computer Science and Engineering, IIT Bombay, supervised by Prof. Preethi Jyothi and Late Prof. Pushpak Bhattacharyya.

My research focuses on extremely low-resource languages and how to transfer knowledge from large pretrained models to languages that have almost no data.

I was recently a Visiting Research Scholar at the University of Sheffield, hosted by Prof. Nikos Aletras.

Research Interests

  • Machine Translation for Extremely Low-Resource Languages
  • Byte-level and tokenizer-free NLP
  • Morphosyntactic Analysis (POS tagging, NER)
  • Automatic Speech Recognition for Low-Resource Languages
  • Cross-lingual Transfer Learning

Recent Papers

  • [EMNLP 2026] When Tokenizers Fail: Byte-Level Chunking for Zero-Shot Transfer to Low-Resource Languages · Paper · Code

  • [EACL 2026] SrcMix: Mixing of Related Source Languages Benefits Extremely Low-resource Machine Translation · Paper · Code

  • [ACL 2024] Part-of-speech Tagging for Extremely Low-resource Indian Languages · Paper · Code

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  1. acl-24-pos acl-24-pos Public

    Repository for the ACL 2024 paper "Part-of-Speech Tagging for Extremely Low-resource Indian Languages" (Angika, Magahi, and Bhojpuri). Includes datasets, zero-shot baselines, and look-back inferenc…

    Python 1

  2. SrcMix SrcMix Public

    Repository for the EACL 2026 paper "SrcMix: Mixing of Related Source Languages Benefits Extremely Low-resource Machine Translation". Contains the dataset and code for SrcMix, a controlled source-la…

    Python 1

  3. ByteChunk ByteChunk Public

    Repository for the EMNLP 2026 paper "When Tokenizers Fail: Byte-Level Chunking for Zero-Shot Transfer to Low-Resource Languages".

    Python