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Kishore Papineni

Kishore Papineni has 2 papers in our library, in 2002–2003, most of them on Machine translation, Language models & pretraining, Evaluation & benchmarks; often with Salim Roukos, Hany Hassan, Ossama Emam.

2 papers in our library · 2002–2003

OpenAlex · h-index 14 · 30 works · 22,190 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 11,128 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #56

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

🏢GoogleMountain View · United States2013–2024 · 6 paperscurrent🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States1999–2006 · 12 papers🏢IBMArmonk · United States2001–2006 · 7 papers🏢YahooSunnyvale · United States2008–2011 · 3 papers

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

 Fields, topics and concepts

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

📚 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 5Research subjects and languages the work is about.Evaluation & benchmarks · 1 workMachine translation · 1 workLanguage models & pretraining · 1 workSemitic languages · 1 workTokenization & segmentation · 1 work

💡 Concepts 3Key ideas and methods explained on our concept pages.BLEU score · 1 workchrF · 1 workNatural language processing · 1 work

 Works by year

2000s

20031 paper20021 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Bleu: a Method for Automatic Evaluation of Machine Translation (2002 · 32,275 citations)
    The paper proposes BLEU, a cheap automatic score for MT that is meant to stand in for human judges during development.
  2. Language Model Based Arabic Word Segmentation (2003 · 181 citations)
    The paper tackles splitting Arabic words into their meaningful pieces. Arabic packs prepositions, articles, pronouns and agreement markers into a single orthographic word. The authors model every word as zero or more prefixes, one stem, and zero or more suffixes. A trigram language model over morphemes then picks the…

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. Bleu: a Method for Automatic Evaluation of Machine TranslationKishore Papineni, Salim Roukos, Todd Ward, et al.Machine translation · 32,275 citations
  2. Language Model Based Arabic Word SegmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Young-Suk Lee, Kishore Papineni, Salim Roukos, et al.2003 · 181 citations
  3. Text Segmentation by Cross Segment Attention ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetMichal Lukasik et al.2020 · 113 citations
  4. Machine Translation Evaluation: N-grams to the Rescue ↗Proceedings of the Third International Conference on Language Resources and Evaluation (LREC'02) · no summary yetPapineni, Kishore2002 · 7 citations

 Co-authors here

4 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 11,128 times (of the 149,439 papers whose bibliographies we read); 1,221 citing papers with a page here →.

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