Toward a Broad-coverage Bilingual Corpus for Speech Translation of Travel Conversations in the Real World
Toshiyuki Takezawa, Eiichiro Sumita, Fumiaki Sugaya, Hirofumi Yamamoto, Seiichi Yamamoto
Kyoto Seika University
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摘要与影响
At ATR Spoken Language Translation Research Laboratories, we are building a broad-coverage bilingual corpus to study corpus-based speech translation technologies for the real world.There are three important points to consider in designing and constructing a corpus for future speech translation research.The first is to have a variety of speech samples, with a wide range of pronunciations and speakers.The second is to have data for a variety of situations.The third is to have a variety of expressions.This paper reports our trials and discusses the methodology.First, we introduce a bilingual travel conversation (TC) corpus of spoken languages and a broad-coverage bilingual basic expression (BE) corpus.TC and BE are designed to be complementary.TC is a collection of transcriptions of bilingual spoken dialogues, while BE is a collection of Japanese sentences and their English translations.Whereas TC covers a small domain, BE covers a wide variety of domains.We compare the characteristics of vocabulary and expressions between these two corpora and suggest that we need a much greater variety of expressions.One promising approach might be to collect paraphrases representing various different expressions generated by many people for similar concepts.
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计算机 / AINatural Language Processing Techniques
Speech and dialogue systems · Topic Modeling
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