---
title: "Colin Cherry — papers and cards"
description: "Colin Cherry: 4 paper cards in the Research library (2005–2017), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/colin-cherry/"
---
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# Colin Cherry

4 paper cards in the Research library · 2005–2017

Colin Cherry wrote 4 of the papers Mova reads, in 2005–2017, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/); often with Alan Ritter, [Arul Menezes](https://md.research.elamur.ai/free/en/authors/arul-menezes/), Bill Dolan.

[OpenAlex](https://openalex.org/A5048302740) · [**h-index 44**](https://openalex.org/authors/A5048302740) · [8742 citations](https://openalex.org/authors/A5048302740) · [208 works](https://openalex.org/works?filter=author.id:A5048302740) — openalex-snapshot, 2026-10-14

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Colin+Cherry) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Colin+Cherry) · [dblp](https://dblp.org/search?q=Colin+Cherry) · [ACL Anthology](https://aclanthology.org/search/?q=Colin+Cherry) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Colin+Cherry)

Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 3 · [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) 1

## Papers

1. **[A Challenge Set Approach to Evaluating Machine Translation](https://md.research.elamur.ai/free/en/papers/isabelle-2017-challenge-set-approach-evaluating-machine/)** *(2017)* The paper proposes challenge sets: small, hand-written sets of English to French sentences, each built to test one structural divergence between the two languages, for example morphology that exposes agreement, stranded prepositions, double-object verbs, subcategorisation frames, idioms and WH-movement.
2. **[Paraphrasing for Style](https://md.research.elamur.ai/free/en/papers/xu-2012-paraphrasing-style/)** *(2012)* The paper asks whether a paraphrase system can be steered toward a writing style. Its testbed is Shakespeare's plays paired with their modern prose translations, aligned into roughly 21,000 sentence pairs from one source and about 10,000 from another. A phrase-based statistical MT system is trained in the…
3. **[A global model for joint lemmatization and part-of-speech prediction](https://md.research.elamur.ai/free/en/papers/aclbulk-2009-toutanova-global-model-joint-lemmatization-part/)** *(2009)* The authors predict lemmas and part-of-speech tags together, because the two depend on each other. Their model combines a tag-set model and a lemmatization model, and adds joint features over a dependency structure of the words, so the decision for one word can use its neighbours. It uses only morphological lexicons…
4. **[Dependency Treelet Translation: Syntactically Informed Phrasal SMT](https://md.research.elamur.ai/free/en/papers/quirk-2005-dependency-treelet-translation-syntactically-informed/)** *(2005)* The system takes a source sentence, parses it into a dependency tree, and projects that tree onto the target sentence through the word alignment.

## Co-authors (9)

- Alan Ritter
- [Arul Menezes](https://md.research.elamur.ai/free/en/authors/arul-menezes/)
- Bill Dolan
- [Chris Quirk](https://md.research.elamur.ai/free/en/authors/chris-quirk/)
- [George Foster](https://md.research.elamur.ai/free/en/authors/george-foster/)
- [Kristina Toutanova](https://md.research.elamur.ai/free/en/authors/kristina-toutanova/)
- [Pierre Isabelle](https://md.research.elamur.ai/free/en/authors/pierre-isabelle/)
- Ralph Grishman
- [Wei Xu](https://md.research.elamur.ai/free/en/authors/wei-xu/)

## More papers in the library (5)

Pages of the Research library: our summary, the ideas, references and who cites each.

- [SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages?](https://md.research.elamur.ai/free/en/papers/li-2025-ssa-comet-do-llms-outperform/) — Senyu Li, Jiayi Wang, Felermino D. M. A. Ali, et al. · 2025
- [Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts](https://md.research.elamur.ai/free/en/papers/briakou-2024-translating-step-step-decomposing-translation/) — Eleftheria Briakou, Jiaming Luo, Colin Cherry, et al. · 2024
- [Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges](https://md.research.elamur.ai/free/en/papers/arivazhagan-2019-massively-multilingual-neural-machine-translation/) — Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al. · 2019
- [A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU](https://md.research.elamur.ai/free/en/papers/chen-2014-systematic-comparison-smoothing-techniques-sentence/) — Boxing Chen, Colin Cherry · 2014
- [An Expectation Maximization Approach to Pronoun Resolution](https://md.research.elamur.ai/free/en/papers/cherry-2005-expectation-maximization-approach-pronoun-resolution/) — Colin Cherry, Shane Bergsma · 2005
