Chris Cargile, Gayathri Santhanakrishnan, Aspen Olmsted
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Exposing wiktionary translations with performance in mind
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.
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