Learning to Translate for Multilingual Question Answering

In multilingual question answering, either the question needs to be translated into the document language, or vice versa. In addition to direction, there are multiple methods to perform the translation, four of which we explore in this paper: word-based, 10-best, context-based, and grammar-based. We...

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Bibliographic Details
Main Authors Ture, Ferhan, Boschee, Elizabeth
Format Journal Article
LanguageEnglish
Published 26.09.2016
Subjects
Computer Science - Artificial Intelligence
Computer Science - Computation and Language
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Summary:In multilingual question answering, either the question needs to be translated into the document language, or vice versa. In addition to direction, there are multiple methods to perform the translation, four of which we explore in this paper: word-based, 10-best, context-based, and grammar-based. We build a feature for each combination of translation direction and method, and train a model that learns optimal feature weights. On a large forum dataset consisting of posts in English, Arabic, and Chinese, our novel learn-to-translate approach was more effective than a strong baseline (p<0.05): translating all text into English, then training a classifier based only on English (original or translated) text.
DOI:10.48550/arxiv.1609.08210