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1
Minimum Bayes-Risk Decoding for Statistical Machine Translation
In: DTIC (2004)
Abstract: We present Minimum Bayes-Risk (MBR) decoding for statistical machine translation. This statistical approach aims to minimize expected loss of translation errors under loss functions that measure translation performance. We describe a hierarchy of loss functions that incorporate different levels of linguistic information from word strings, word-to-word alignments from an MT system, and syntactic structure from parse-trees of source and target language sentences. We report the performance of the MBR decoders on a Chinese-to-English translation task. Our results show that MBR decoding can be used to tune statistical MT performance for specific loss functions.
Keyword: *FUNCTIONS; *HIERARCHIES; *LANGUAGE TRANSLATION; *LINGUISTICS; *MACHINE TRANSLATION; *SPEECH; *SPEECH RECOGNITION; *STATISTICAL ANALYSIS; *WORDS(LANGUAGE); ALIGNMENT; Anatomy and Physiology; AUTOMATIC; DECISION MAKING; DECODING; ERRORS; LANGUAGE; Linguistics; LOSSES; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; MEASUREMENT; QUALITY; STATISTICAL PROCESSES; Statistics and Probability; SYNTAX; TEST AND EVALUATION; TRANSLATIONS
URL: http://www.dtic.mil/docs/citations/ADA460576
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460576
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2
The Pragmatics of Taking a Spoken Language System Out of the Laboratory
In: DTIC (2003)
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3
A Practical Methodology for the Evaluation of Spoken Language Systems
In: DTIC (1992)
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4
Subject-Based Evaluation Measures for Interactive Spoken Language Systems
In: DTIC (1992)
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5
Development of a Spoken Language System
In: DTIC AND NTIS (1992)
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