Intelligent Translation Memory Matching and Retrieval with Sentence Encoders

Tharindu Ranasinghe, Constantin Orǎsan, Ruslan Mitkov

Research output: Chapter in Book/Published conference outputConference publication


Matching and retrieving previously translated segments from the Translation Memory is a 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 matching and retrieving process in Translation Memories systems - an effective and efficient solution to replace edit distance-based algorithms.
Original languageEnglish
Title of host publicationProceedings of the 22nd Annual Conference of the European Association for Machine Translation
PublisherAssociation for Computational Linguistics (ACL)
Number of pages10
Publication statusPublished - Nov 2020

Bibliographical note

Copyright 2020 The authors. This article is licensed under a Creative
Commons 3.0 licence, no derivative works, attribution, CCBY-ND


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