Multi-word Expressions in English Scientific Writing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A6UC88LXJ" target="_blank" >RIV/00216208:11320/25:6UC88LXJ - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189759791&partnerID=40&md5=522518134f3970ccca5471faff0df55d" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189759791&partnerID=40&md5=522518134f3970ccca5471faff0df55d</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Multi-word Expressions in English Scientific Writing

Popis výsledku v původním jazyce

Multi-Word Expressions (MWEs) play a pivotal role in language use overall and in register formation more specifically, e.g. encoding domain-specific terminology. Our study focuses on the identification and categorization of MWEs used in English scientific writing, considering their formal characteristics as well as their developmental trajectory over time from the mid-17th century to the present. For this, we develop an approach combining three different types of methods to identify MWEs (Universal Dependency annotation, Partitioner and the Academic Formulas List) and selected measures to characterize MWE properties (e.g., dispersion by Kullback-Leibler Divergence and several association measures). This allows us to inspect MWE types in a novel data-driven way regarding their functions and change over time in specialized discourse. © 2024 Association for Computational Linguistics.

Název v anglickém jazyce

Multi-word Expressions in English Scientific Writing

Popis výsledku anglicky

Multi-Word Expressions (MWEs) play a pivotal role in language use overall and in register formation more specifically, e.g. encoding domain-specific terminology. Our study focuses on the identification and categorization of MWEs used in English scientific writing, considering their formal characteristics as well as their developmental trajectory over time from the mid-17th century to the present. For this, we develop an approach combining three different types of methods to identify MWEs (Universal Dependency annotation, Partitioner and the Academic Formulas List) and selected measures to characterize MWE properties (e.g., dispersion by Kullback-Leibler Divergence and several association measures). This allows us to inspect MWE types in a novel data-driven way regarding their functions and change over time in specialized discourse. © 2024 Association for Computational Linguistics.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

LaTeCH-CLfL - Jt. SIGHUM Workshop Comput. Linguist. Cult. Herit., Soc. Sci., Humanit. Lit., Proc. Workshop

ISBN

979-889176069-1

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

67-76

Název nakladatele

Association for Computational Linguistics (ACL)

Místo vydání

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Místo konání akce

St. Julian's, Malta

Datum konání akce

1. 1. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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