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Models of Language and Multiword Expressions
Traditional accounts of language postulate two basic components: words stored in a lexicon, and rules that govern how they can be combined into meaningful sentences, a grammar. But, although this words-and-rules framework has proven itself to be useful in natural language processing and cognitive sc...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892141/ https://www.ncbi.nlm.nih.gov/pubmed/35252848 http://dx.doi.org/10.3389/frai.2022.781962 |
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author | Contreras Kallens, Pablo Christiansen, Morten H. |
author_facet | Contreras Kallens, Pablo Christiansen, Morten H. |
author_sort | Contreras Kallens, Pablo |
collection | PubMed |
description | Traditional accounts of language postulate two basic components: words stored in a lexicon, and rules that govern how they can be combined into meaningful sentences, a grammar. But, although this words-and-rules framework has proven itself to be useful in natural language processing and cognitive science, it has also shown important shortcomings when faced with actual language use. In this article, we review evidence from language acquisition, sentence processing, and computational modeling that shows how multiword expressions such as idioms, collocations, and other meaningful and common units that comprise more than one word play a key role in the organization of our linguistic knowledge. Importantly, multiword expressions straddle the line between lexicon and grammar, calling into question how useful this distinction is as a foundation for our understanding of language. Nonetheless, finding a replacement for the foundational role the words-and-rules approach has played in our theories is not straightforward. Thus, the second part of our article reviews and synthesizes the diverse approaches that have attempted to account for the central role of multiword expressions in language representation, acquisition, and processing. |
format | Online Article Text |
id | pubmed-8892141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88921412022-03-04 Models of Language and Multiword Expressions Contreras Kallens, Pablo Christiansen, Morten H. Front Artif Intell Artificial Intelligence Traditional accounts of language postulate two basic components: words stored in a lexicon, and rules that govern how they can be combined into meaningful sentences, a grammar. But, although this words-and-rules framework has proven itself to be useful in natural language processing and cognitive science, it has also shown important shortcomings when faced with actual language use. In this article, we review evidence from language acquisition, sentence processing, and computational modeling that shows how multiword expressions such as idioms, collocations, and other meaningful and common units that comprise more than one word play a key role in the organization of our linguistic knowledge. Importantly, multiword expressions straddle the line between lexicon and grammar, calling into question how useful this distinction is as a foundation for our understanding of language. Nonetheless, finding a replacement for the foundational role the words-and-rules approach has played in our theories is not straightforward. Thus, the second part of our article reviews and synthesizes the diverse approaches that have attempted to account for the central role of multiword expressions in language representation, acquisition, and processing. Frontiers Media S.A. 2022-02-17 /pmc/articles/PMC8892141/ /pubmed/35252848 http://dx.doi.org/10.3389/frai.2022.781962 Text en Copyright © 2022 Contreras Kallens and Christiansen. 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 Contreras Kallens, Pablo Christiansen, Morten H. Models of Language and Multiword Expressions |
title | Models of Language and Multiword Expressions |
title_full | Models of Language and Multiword Expressions |
title_fullStr | Models of Language and Multiword Expressions |
title_full_unstemmed | Models of Language and Multiword Expressions |
title_short | Models of Language and Multiword Expressions |
title_sort | models of language and multiword expressions |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892141/ https://www.ncbi.nlm.nih.gov/pubmed/35252848 http://dx.doi.org/10.3389/frai.2022.781962 |
work_keys_str_mv | AT contreraskallenspablo modelsoflanguageandmultiwordexpressions AT christiansenmortenh modelsoflanguageandmultiwordexpressions |