@inproceedings{ranasinghe-etal-2020-intelligent,
title = "Intelligent Translation Memory Matching and Retrieval with Sentence Encoders",
author = "Ranasinghe, Tharindu and
Orasan, Constantin and
Mitkov, Ruslan",
booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
month = nov,
year = "2020",
address = "Lisboa, Portugal",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2020.eamt-1.19",
pages = "175--184",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Intelligent Translation Memory Matching and Retrieval with Sentence Encoders
%A Ranasinghe, Tharindu
%A Orasan, Constantin
%A Mitkov, Ruslan
%S Proceedings of the 22nd Annual Conference of the European Association for Machine Translation
%D 2020
%8 nov
%I European Association for Machine Translation
%C Lisboa, Portugal
%F ranasinghe-etal-2020-intelligent
%X 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.
%U https://aclanthology.org/2020.eamt-1.19
%P 175-184
Markdown (Informal)
[Intelligent Translation Memory Matching and Retrieval with Sentence Encoders](https://aclanthology.org/2020.eamt-1.19) (Ranasinghe et al., EAMT 2020)
ACL