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Shamil Chollampatt

Shamil Chollampatt has 2 papers in our library, in 2016–2020, most of them on Machine translation, Grammatical error correction & learner language; often with Hwee Tou Ng, Kaveh Taghipour, Liling Tan.

2 papers in our library · 2016–2020

OpenAlex · h-index 9 · 16 works · 536 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 184 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4708

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓National University of SingaporeSingapore · Singapore2016–2020 · 9 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Machine translation · 2 worksGrammatical error correction & learner language · 1 work

 Works by year

2020s

20201 paperShamil Chollampatt's papers of 2020

2010s

20161 paperShamil Chollampatt's papers of 2016

 Papers

The most cited first (OpenAlex and our library).

  1. Lexically Constrained Neural Machine Translation with Levenshtein Transformer (2020 · 110 citations)
    The paper addresses how to force a neural machine translation system to use required terminology, such as brand names or entries from domain dictionaries.
  2. Neural Network Translation Models for Grammatical Error Correction (2016 · 79 citations)
    The paper addresses grammatical error correction (GEC) for English learner writing. It frames GEC as translation from erroneous to corrected English. Phrase-based SMT systems were already state of the art for this task, since they learn rewrites from parallel data without needing error-type-specific rules. However…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction ↗arXiv:1801.08831 · no summary yetShamil Chollampatt, Hwee Tou Ng2018 · 301 citations
  2. Lexically Constrained Neural Machine Translation with Levenshtein TransformerAnnual Meeting of the Association for Computational Linguistics (ACL)Raymond Hendy Susanto, Shamil Chollampatt, Liling Tan2020 · 110 citations
  3. Neural Network Translation Models for Grammatical Error CorrectionarXiv:1606.00189Shamil Chollampatt, Kaveh Taghipour, Hwee Tou Ng2016 · 79 citations
  4. Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction ↗arXiv:1606.00210 · no summary yetDuc Tam Hoang, Shamil Chollampatt, Hwee Tou Ng2016 · 20 citations

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 184 times (of the 141,840 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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