Annotating and Disambiguating the Discourse Usage of the Enclitic dA in Turkish
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3ALVDVRTR6" target="_blank" >RIV/00216208:11320/23:LVDVRTR6 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174857109&partnerID=40&md5=f0c4436b96b55e7a04ecbb02ee9d59f5" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174857109&partnerID=40&md5=f0c4436b96b55e7a04ecbb02ee9d59f5</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Annotating and Disambiguating the Discourse Usage of the Enclitic dA in Turkish
Popis výsledku v původním jazyce
"The Turkish particle dA is a focus-associated enclitic, and it can act as a discourse connective conveying multiple senses, like additive, contrastive, causal etc. Like many other linguistic expressions, it is subject to usage ambiguity and creates a challenge in natural language automatization tasks. For the first time, we annotate the discourse and non-discourse connnective occurrences of dA in Turkish with the PDTB principles. Using a minimal set of linguistic features, we develop binary classifiers to distinguish its discourse connective usage from its other usages. We show that despite its ability to cliticize to any syntactic type, variable position in the sentence and having a wide argument span, its discourse/non-discourse connective usage can be annotated reliably and its discourse usage can be disambiguated by exploiting local cues. © 2023 Association for Computational Linguistics."
Název v anglickém jazyce
Annotating and Disambiguating the Discourse Usage of the Enclitic dA in Turkish
Popis výsledku anglicky
"The Turkish particle dA is a focus-associated enclitic, and it can act as a discourse connective conveying multiple senses, like additive, contrastive, causal etc. Like many other linguistic expressions, it is subject to usage ambiguity and creates a challenge in natural language automatization tasks. For the first time, we annotate the discourse and non-discourse connnective occurrences of dA in Turkish with the PDTB principles. Using a minimal set of linguistic features, we develop binary classifiers to distinguish its discourse connective usage from its other usages. We show that despite its ability to cliticize to any syntactic type, variable position in the sentence and having a wide argument span, its discourse/non-discourse connective usage can be annotated reliably and its discourse usage can be disambiguated by exploiting local cues. © 2023 Association for Computational Linguistics."
Klasifikace
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)
Návaznosti výsledku
Projekt
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Návaznosti
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Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
"Proc. Annu. Meet. Assoc. Comput Linguist."
ISBN
978-195942983-8
ISSN
0736-587X
e-ISSN
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Počet stran výsledku
9
Strana od-do
46-54
Název nakladatele
Association for Computational Linguistics (ACL)
Místo vydání
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Místo konání akce
Cham
Datum konání akce
1. 1. 2023
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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