期刊名称：The Prague Bulletin of Mathematical Linguistics
印刷版ISSN：0032-6585
电子版ISSN：1804-0462
出版年度：2015
卷号：104
期号：1
页码：39-50
DOI：10.1515/pralin-2015-0012
语种：English
出版社：Walter de Gruyter GmbH
摘要：The idea of virtual phrase tables for statistical machine translation (SMT) that construct phrase table entries on demand by sampling a fully indexed bitext was first proposed ten years ago by Callison-Burch et al. (2005). However, until recently (Germann, 2014) no working and practical implementation of this approach was available in the Moses SMT system. We describe and evaluate this implementation in more detail. Sampling phrase tables are much faster to build and are competitive with conventional phrase tables in terms of translation quality and speed.
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