Intelligent Translation Memory Matching and Retrieval with Sentence Encoders

Abstract

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.

Additional Information: Copyright 2020 The authors. This article is licensed under a Creative Commons 3.0 licence, no derivative works, attribution, CCBY-ND
Last Modified: 13 Mar 2024 18:06
Date Deposited: 02 Mar 2023 13:14
Full Text Link: https://www.acl ... /2020.eamt-1.19
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PURE Output Type: Conference contribution
Published Date: 2020-11
Authors: Ranasinghe, Tharindu (ORCID Profile 0000-0003-3207-3821)
Orǎsan, Constantin
Mitkov, Ruslan

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