Intelligent translation memory matching and retrieval with sentence encoders
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AbstractMatching and retrieving previously translated segments from a Translation Memory is the key functionality in Translation Memories systems. However this matching and retrieving process is still limited to algorithms based on edit distance which we have identified as a major drawback in Translation Memories systems. In this paper we introduce sentence encoders to improve the matching and retrieving process in Translation Memories systems - an effective and efficient solution to replace edit distance based algorithms.
CitationRanasinghe, T., Orasan, C. and Mitkov, R. (2020) Intelligent Translation Memory Matching and Retrieval with Sentence Encoders. In Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, pp. 175–184, Lisboa, Portugal. European Association for Machine Translation.
Journal22nd Annual Conference of the European Association for Machine Translation
Description© 2020 ACL. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://aclanthology.org/2020.eamt-1.19
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/3.0/