🧑‍🔬 Sivaji Bandyopadhyay

🏛️ Affiliations

🎓Jadavpur UniversityKolkata · India1988–2026 · 226 paperscurrent🎓National Institute Of Technology SilcharSilchar · India2019–2025 · 85 papers🎓Nanyang Technological UniversitySingapore · Singapore2016–2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

2000s

📄 Papers

The most cited first (OpenAlex and our library).

1. CNLP-NITS-PP at WANLP 2022 Shared Task: Propaganda Detection in Arabic using Data Augmentation and AraBERT Pre-trained Model (2022 · 8 citations)
   The paper describes the CNLP-NITS-PP team's entry to subtask 1 of the WANLP 2022 shared task, which focused on detecting propaganda in Arabic text.
2. Question Classification and Answering from Procedural Text in English (2012 · 8 citations)
   The paper looks at how-to questions, which ask how to carry out a procedure such as a recipe, a repair or a medical routine.
3. May I check the English of your paper!!! (2011 · 8 citations)
   This paper describes a Jadavpur University entry to the HOO (Help Our Own) shared task of 2011. The task asks systems to automatically fix English errors in research papers, mostly those written by non-native authors. The authors combine two components. The first is a rule-based layer that uses the Stanford…
4. JU-SKNSB: Extended WordNet Based WSD on the English All-Words Task at SemEval-1 (2007 · 4 citations)
   The paper addresses English all-words word sense disambiguation (WSD) for nouns, verbs and adjectives using only lexical knowledge, with no training data.
5. Bengali-English and Hindi-English Code Mixed Speech Data with Disfluencies (2026)
   Most Bengali–English and Hindi–English speech corpora contain clean, scripted speech. Real Indian conversation mixes languages and includes hesitations, so ASR systems built on fluent data handle it poorly. Recording such natural speech is expensive, particularly when only about an hour of data is realistic. The…
6. From LLM Prompts to Acoustic Baselines: A Scalable Pipeline for Under-Resourced Disfluent Code-Mixed Speech (2026)
   ASR systems for South Asian languages are rarely trained on audio that reflects real conversation, where speakers switch between their native language and English mid-sentence and also hesitate, repeat words or restart.

All works

8 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them.

1. CNLP-NITS-PP at WANLP 2022 Shared Task: Propaganda Detection in Arabic using Data Augmentation and AraBERT Pre-trained ModelArabic Natural Language Processing Workshop (WANLP)Sahinur Rahman Laskar, Rahul Singh, Abdullah Faiz Ur Rahman Khilji, et al.2022 · 8 citations
2. Question Classification and Answering from Procedural Text in EnglishProceedings of the Workshop on Question Answering for Complex DomainsSomnath Banerjee, Sivaji Bandyopadhyay2012 · 8 citations
3. May I check the English of your paper!!!European Workshop on Natural Language GenerationPinaki Bhaskar, Aniruddha Ghosh, Santanu Pal, et al.2011 · 8 citations
4. 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) · no summary yetLoitongbam Sanayai Meetei et al.2020 · 7 citations
5. JU-SKNSB: Extended WordNet Based WSD on the English All-Words Task at SemEval-1International Workshop on Semantic EvaluationsSudip Kumar Naskar, Sivaji Bandyopadhyay2007 · 4 citations
6. Detection and Correction of Preposition and Determiner Errors in English: HOO 2012 ↗Proceedings of the Seventh Workshop on Building Educational Applications Using NLP · no summary yetPinaki Bhaskar et al.2012 · 2 citations
7. Bengali-English and Hindi-English Code Mixed Speech Data with DisfluenciesWorkshop on Indian Language Data: Resources and EvaluationAnuran Mitra, Tapabrata Mondal, Anirvan Chakravarty, et al.2026
8. From LLM Prompts to Acoustic Baselines: A Scalable Pipeline for Under-Resourced Disfluent Code-Mixed SpeechSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesAnuran Mitra, Anirvan Chakravarty, Tapabrata Mondal, et al.2026

🤝 Co-authors here

9 co-authors with a page, the most papers together first.

• Anirvan Chakravarty ×2
• Anuran Mitra ×2
• Tapabrata Mondal ×2
• Aniruddha Ghosh
• Partha Pakray
• Riyanka Manna
• Sahinur Rahman Laskar
• Santanu Pal
• Somnath Banerjee

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• European Workshop on Natural Language Generation: European Workshop on Natural Language Generation 2011
• International Workshop on Semantic Evaluations: International Workshop on Semantic Evaluations 2007
• SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages: SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages 2026
• Arabic Natural Language Processing Workshop (WANLP): WANLP 2022
• Workshop on Indian Language Data: Resources and Evaluation: Workshop on Indian Language Data: Resources and Evaluation 2026
• Proceedings of the 17th International Conference on Natural Language Processing (ICON)
• Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
• Proceedings of the Workshop on Question Answering for Complex Domains

🔗 Cited by

Papers of our library cite their works 8 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated 1 November 2026

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