InforLorV4, Main, Merge, bibRecord, 003688

Word- and sentence-level confidence measures for machine translation

Identifieur interne : 003688 ( Main/Merge ); précédent : 003687; suivant : 003689

Word- and sentence-level confidence measures for machine translation

Auteurs : Sylvain Raybaud [France] ; Caroline Lavecchia [France] ; David Langlois [France] ; Kamel Smaïli [France]

Source :

RBID : Hal:inria-00417541

English descriptors

mix :
- confidence measure, machine translation, mutual information.

Abstract

A machine translated sentence is seldom completely correct. Confidence measures are designed to detect incorrect words, phrases or sentences, or to provide an estimation of the probability of correctness. In this article we describe several word- and sentence-level confidence measures relying on different features: mutual information between words, n-gram and backward n-gram language models, and linguistic features. We also try different combination of these measures. Their accuracy is evaluated on a classification task. We achieve 17% error-rate (0.84 f-measure) on word-level and 31% error-rate (0.71 f-measure) on sentence-level.

Url:

https://hal.inria.fr/inria-00417541

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Le document en format XML

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<front><div type="abstract" xml:lang="en">A machine translated sentence is seldom completely correct. Confidence measures are designed to detect incorrect words, phrases or sentences, or to provide an estimation of the probability of correctness. In this article we describe several word- and sentence-level confidence measures relying on different features: mutual information between words, n-gram and backward n-gram language models, and linguistic features. We also try different combination of these measures. Their accuracy is evaluated on a classification task. We achieve 17% error-rate (0.84 f-measure) on word-level and 31% error-rate (0.71 f-measure) on sentence-level.</div>
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Word- and sentence-level confidence measures for machine translation

Word- and sentence-level confidence measures for machine translation

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