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：2012
卷号：98
期号：1
页码：51-61
DOI：10.2478/v10108-012-0008-7
语种：English
出版社：Walter de Gruyter GmbH
摘要：This paper describes pycdec, a Python module for the cdec decoder. It enables Python code to use cdec's fast C++ implementation of core finite-state and context-free inference algorithms for decoding and alignment. The high-level interface allows developers to build integrated MT applications that take advantage of the rich Python ecosystem without sacrificing computational performance. We give examples of how to interact directly with the main cdec data structures (lattices, hypergraphs, sparse feature vectors), evaluate translation quality, and use the suffix-array grammar extraction code. This permits rapid prototyping of new algorithms for training, data visualization, and utilizing MT and related structured prediction tasks.
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