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：2009
卷号：91
期号：1
页码：17-26
DOI：10.2478/v10108-009-0012-8
语种：English
出版社：Walter de Gruyter GmbH
摘要：We describe a freely available open source memory-based machine translation system, mbmt. Its translation model is a fast approximate memory-based classifier, trained to map trigrams of source-language words onto trigrams of target-language words. In a second decoding step, the predicted trigrams are rearranged according to their overlap, and candidate output sequences are ranked according to a memory-based language model. We report on the scaling abilities of the memory-based approach, observing fast training and testing times, and linear scaling behavior in speed and memory costs. The system is released as an open source software package1, for which we provide a first reference guide.
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