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：2011
卷号：96
期号：1
页码：49-58
DOI：10.2478/v10108-011-0010-5
语种：English
出版社：Walter de Gruyter GmbH
摘要：This paper describes Ncode, an open source statistical machine translation (SMT) toolkit for translation models estimated as n -gram language models of bilingual units ( tuples ). This toolkit includes tools for extracting tuples, estimating models and performing translation. It can be easily coupled to several other open source toolkits to yield a complete SMT pipeline. In this article, we review the main features of the toolkit and explain how to build a translation engine with Ncode. We also report a short comparison with the widely known Moses system. Results show that Ncode outperforms Moses in terms of memory requirements and translation speed. Ncode also achieves slightly higher accuracy results.
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