PARSEME-AR: Arabic reference corpus for multiword expressions using PARSEME annotation guidelines

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3A8HXR5IS7" target="_blank" >RIV/00216208:11320/26:8HXR5IS7 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/s10579-024-09763-7" target="_blank" >http://dx.doi.org/10.1007/s10579-024-09763-7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10579-024-09763-7" target="_blank" >10.1007/s10579-024-09763-7</a>

Jazyk výsledku

angličtina

Název v původním jazyce

PARSEME-AR: Arabic reference corpus for multiword expressions using PARSEME annotation guidelines

Popis výsledku v původním jazyce

In this paper we present PARSEME-AR, the first openly available Arabic corpus manually annotated for Verbal Multiword Expressions (VMWEs). The annotation process is carried out based on guidelines put forward by PARSEME, a multilingual project for more than 26 languages. The corpus contains 4749 VMWEs in about 7500 sentences taken from the Prague Arabic Dependency Treebank. The results notably show a high degree of discontinuity in Arabic VMWEs in comparison to other languages in the PARSEME suite. We also propose analyses of interesting and challenging phenomena encountered during the annotation process. Moreover, we offer the first benchmark for the VMWE identification task in Arabic, by training two state-of-the-art systems, on our Arabic data. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

Název v anglickém jazyce

PARSEME-AR: Arabic reference corpus for multiword expressions using PARSEME annotation guidelines

Popis výsledku anglicky

In this paper we present PARSEME-AR, the first openly available Arabic corpus manually annotated for Verbal Multiword Expressions (VMWEs). The annotation process is carried out based on guidelines put forward by PARSEME, a multilingual project for more than 26 languages. The corpus contains 4749 VMWEs in about 7500 sentences taken from the Prague Arabic Dependency Treebank. The results notably show a high degree of discontinuity in Arabic VMWEs in comparison to other languages in the PARSEME suite. We also propose analyses of interesting and challenging phenomena encountered during the annotation process. Moreover, we offer the first benchmark for the VMWE identification task in Arabic, by training two state-of-the-art systems, on our Arabic data. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

—

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Language Resources and Evaluation

ISSN

1574-020X

e-ISSN

—

Svazek periodika

59

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

31

Strana od-do

1331-1361

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85202476399