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Where's the Verb? Correcting Machine Translation During Question Answering

Ma, Wei-Yun; McKeown, Kathleen

When a multi-lingual question-answering (QA) system provides an answer that has been incorrectly translated, it is very likely to be
regarded as irrelevant. In this paper, we propose a novel method for correcting a deletion error that affects overall understanding of the sentence. Our post-editing technique uses information available at query time: examples drawn from related documents determined to be relevant to the query. Our results show that 4%-7% of MT sentences are
missing the main verb and on average, 79% of the modified sentences are judged to be more comprehensible. The QA performance also
benefits from the improved MT: 7% of irrelevant response sentences become relevant.



More About This Work

Academic Units
Computer Science
Published Here
April 29, 2013
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