文章基本信息

标题：Qualitative: Python Tool for MT Quality Estimation Supporting Server Mode and Hybrid MT
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作者：Eleftherios Avramidis
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：2016
卷号：106
期号：1
页码：147-158
DOI：10.1515/pralin-2016-0014
语种：English
出版社：Walter de Gruyter GmbH
摘要：We are presenting the development contributions of the last two years to our Python opensource Quality Estimation tool, a tool that can function in both experiment-mode and online web-service mode. The latest version provides a new MT interface, which communicates with SMT and rule-based translation engines and supports on-the-fly sentence selection. Additionally, we present an improved Machine Learning interface allowing more efficient communication with several state-of-the-art toolkits. Additions also include a more informative training process, a Python re-implementation of QuEst baseline features, a new LM toolkit integration, an additional PCFG parser and alignments of syntactic nodes.