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：2010
卷号：93
期号：1
页码：157-166
DOI：10.2478/v10108-010-0013-7
语种：English
出版社：Walter de Gruyter GmbH
摘要：While example-based machine translation has long used corpus information at run-time, statistical phrase-based approaches typically include a preprocessing stage where an aligned parallel corpus is split into phrases, and parameter values are calculated for each phrase using simple relative frequency estimates. This paper describes an open source implementation of the crucial algorithms presented in (Lopez, 2008) which allow direct run-time calculation of SCFG translation rules in Joshua.
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