PARSEME-AR: Arabic reference corpus for multiword expressions using PARSEME annotation guidelines
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
PARSEME-AR: Arabic reference corpus for multiword expressions using PARSEME annotation guidelines
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Language Resources and Evaluation
ISSN
1574-020X
e-ISSN
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Volume of the periodical
59
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
31
Pages from-to
1331-1361
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85202476399