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：2017
卷号：109
期号：1
页码：51-60
DOI：10.1515/pralin-2017-0038
语种：English
出版社：Walter de Gruyter GmbH
摘要：Despite its wide applicability, Quality Estimation (QE) of Machine Translation (MT) poses a difficult entry barrier since there are no open source tools with a graphical user interface (GUI). Here we present a tool in this direction by connecting the back-end of the QE decision-making mechanism with a web-based GUI. The interface allows the user to post requests to the QE engine and get a visual response with the results. Additionally we provide pre-trained QE models for easier launching of the app. The tool is written in Python so that it can leverage the rich natural language processing capabilities of the popular dynamic programming language, which is at the same time supported by top web-server environments.
