Collocations in Parsing and Translation

Proper identification of collocations (and more generally of multiword expressions (MWEs), is an important qualitative step for several NLP applications and particularly so for translation. Since many MWEs cannot be translated literally, failure to identify them yields at best inaccurate translation...

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Detalles Bibliográficos
Autor principal: Wehrli, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8928721/
https://www.ncbi.nlm.nih.gov/pubmed/35310957
http://dx.doi.org/10.3389/frai.2022.765695
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author Wehrli, Eric
author_facet Wehrli, Eric
author_sort Wehrli, Eric
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description Proper identification of collocations (and more generally of multiword expressions (MWEs), is an important qualitative step for several NLP applications and particularly so for translation. Since many MWEs cannot be translated literally, failure to identify them yields at best inaccurate translation. This paper is mostly be concerned with collocations. We will show how they differ from other types of MWEs and how they can be successfully parsed and translated by means of a grammar-based parser and translator.
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spelling pubmed-89287212022-03-18 Collocations in Parsing and Translation Wehrli, Eric Front Artif Intell Artificial Intelligence Proper identification of collocations (and more generally of multiword expressions (MWEs), is an important qualitative step for several NLP applications and particularly so for translation. Since many MWEs cannot be translated literally, failure to identify them yields at best inaccurate translation. This paper is mostly be concerned with collocations. We will show how they differ from other types of MWEs and how they can be successfully parsed and translated by means of a grammar-based parser and translator. Frontiers Media S.A. 2022-03-02 /pmc/articles/PMC8928721/ /pubmed/35310957 http://dx.doi.org/10.3389/frai.2022.765695 Text en Copyright © 2022 Wehrli. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Artificial Intelligence
Wehrli, Eric
Collocations in Parsing and Translation
title Collocations in Parsing and Translation
title_full Collocations in Parsing and Translation
title_fullStr Collocations in Parsing and Translation
title_full_unstemmed Collocations in Parsing and Translation
title_short Collocations in Parsing and Translation
title_sort collocations in parsing and translation
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8928721/
https://www.ncbi.nlm.nih.gov/pubmed/35310957
http://dx.doi.org/10.3389/frai.2022.765695
work_keys_str_mv AT wehrlieric collocationsinparsingandtranslation

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