@inproceedings{koehn-senellart-2010-fast,
title = "Fast Approximate String Matching with Suffix Arrays and A* Parsing",
author = "Koehn, Philipp and
Senellart, Jean",
booktitle = "Proceedings of the 9th Conference of the Association for Machine Translation in the Americas: Research Papers",
month = oct # " 31-" # nov # " 4",
year = "2010",
address = "Denver, Colorado, USA",
publisher = "Association for Machine Translation in the Americas",
url = "https://aclanthology.org/2010.amta-papers.2/",
abstract = "We present a novel exact solution to the approximate string matching problem in the context of translation memories, where a text segment has to be matched against a large corpus, while allowing for errors. We use suffix arrays to detect exact n-gram matches, A* search heuristics to discard matches and A* parsing to validate candidate segments. The method outperforms the canonical baseline by a factor of 100, with average lookup times of 4.3{--}247ms for a segment in a realistic scenario."
}
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<abstract>We present a novel exact solution to the approximate string matching problem in the context of translation memories, where a text segment has to be matched against a large corpus, while allowing for errors. We use suffix arrays to detect exact n-gram matches, A* search heuristics to discard matches and A* parsing to validate candidate segments. The method outperforms the canonical baseline by a factor of 100, with average lookup times of 4.3–247ms for a segment in a realistic scenario.</abstract>
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%0 Conference Proceedings
%T Fast Approximate String Matching with Suffix Arrays and A* Parsing
%A Koehn, Philipp
%A Senellart, Jean
%S Proceedings of the 9th Conference of the Association for Machine Translation in the Americas: Research Papers
%D 2010
%8 oct 31 nov 4
%I Association for Machine Translation in the Americas
%C Denver, Colorado, USA
%F koehn-senellart-2010-fast
%X We present a novel exact solution to the approximate string matching problem in the context of translation memories, where a text segment has to be matched against a large corpus, while allowing for errors. We use suffix arrays to detect exact n-gram matches, A* search heuristics to discard matches and A* parsing to validate candidate segments. The method outperforms the canonical baseline by a factor of 100, with average lookup times of 4.3–247ms for a segment in a realistic scenario.
%U https://aclanthology.org/2010.amta-papers.2/
Markdown (Informal)
[Fast Approximate String Matching with Suffix Arrays and A* Parsing](https://aclanthology.org/2010.amta-papers.2/) (Koehn & Senellart, AMTA 2010)
ACL