Exposing wiktionary translations with performance in mind

Chris Cargile, Gayathri Santhanakrishnan, Aspen Olmsted
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Abstract

In this paper, we explore some of the challenges to extracting Wiktionary data so it can be used for machine translation. We provide a use case of considerations made in the development of a web service that transforms raw data in a wiktionary xml dump file into a web-service that provides language translation. Our case study focuses on the performance of this service in comparison to a service using remote calls to the Wiktionary API.
在考虑性能的情况下公开字典翻译
在本文中,我们探讨了提取维基词典数据以用于机器翻译的一些挑战。我们提供了一个在开发将维基词典xml转储文件中的原始数据转换为提供语言翻译的web服务时需要考虑的用例。我们的案例研究重点是将此服务的性能与使用远程调用Wiktionary API的服务进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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