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Cited by 351

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Confidence estimation for machine translation

Open access
Blatz, John, Fitzgerald, Erin, Foster, George, Gandrabur, Simona, Goutte, Cyril, Kulesza, Alex, Sanchis, Alberto, Ueffing, Nicola·2004·Proceedings of the 20th international conference on Computational Linguistics - COLING '04

Abstract

We present a detailed study of confidence estimation for machine translation. Various methods for determining whether MT output is correct are investigated, for both whole sentences and words. Since the notion of correctness is not intuitively clear in this context, different ways of defining it are proposed. We present results on data from the NIST 2003 Chinese-to-English MT evaluation.

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Metadata

Authors
Blatz, J., Fitzgerald, E., Foster, G., Gandrabur, S., Goutte, C., Kulesza, A., Sanchis, A., & Ueffing, N.
Venue
Proceedings of the 20th international conference on Computational Linguistics - COLING '04
Published
2004
Pages
315-es
ISSN
1525-2477 (ISSN-L)
OpenAlex
W2144746247
Cited by
351
References
30
FWCI
7.59
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Confidence estimation for machine translation. https://app.cochat.ai/papers/10.3115/1220355.1220401
The paper
Blatz, J., Fitzgerald, E., Foster, G., Gandrabur, S., Goutte, C., Kulesza, A., Sanchis, A., & Ueffing, N. (2004). Confidence estimation for machine translation. Proceedings of the 20th international conference on Computational Linguistics - COLING '04. https://doi.org/10.3115/1220355.1220401

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.