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LEXICAL AND PHRASAL FEATURE DOMAIN ADAPTATION IN STATISTICAL MACHINE TRANSLATION
LEXICAL AND PHRASAL FEATURE DOMAIN ADAPTATION IN STATISTICAL MACHINE TRANSLATION
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机译:统计机器翻译中的词法和短语特征域自适应
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摘要
A translation method is adapted to a domain of interest. The method includes receiving a source text string comprising a sequence of source words in a source language and generating a set of candidate translations of the source text string, each candidate translation comprising a sequence of target words in a target language. An optimal translation is identified from the set of candidate translations as a function of at least one domain-adapted feature computed based on bilingual probabilities and monolingual probabilities. Each bilingual probability is for a source text fragment and a target text fragment of the source text string and candidate translation respectively. The bilingual probabilities are estimated on an out-of-domain parallel corpus that includes source and target strings. The monolingual probabilities for text fragments of one of the source text string and candidate translation are estimated on an in-domain monolingual corpus.
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