Annotating Verbal Multiword Expressions in Arabic: Assessing the Validity of a Multilingual Annotation Procedure

Najet Hadj Mohamed, Cherifa Ben Khelil, Agata Savary, Iskandar Keskes, Jean-Yves Antoine, Lamia Hadrich-Belguith


Abstract
This paper describes our efforts to extend the PARSEME framework to Modern Standard Arabic. Theapplicability of the PARSEME guidelines was tested by measuring the inter-annotator agreement in theearly annotation stage. A subset of 1,062 sentences from the Prague Arabic Dependency Treebank PADTwas selected and annotated by two Arabic native speakers independently. Following their annotations, anew Arabic corpus with over 1,250 annotated VMWEs has been built. This corpus already exceeds thesmallest corpora of the PARSEME suite, and enables first observations. We discuss our annotation guide-line schema that shows full MWE annotation is realizable in Arabic where we get good inter-annotator agreement.
Anthology ID:
2022.lrec-1.196
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
1839–1848
Language:
URL:
https://aclanthology.org/2022.lrec-1.196
DOI:
Bibkey:
Cite (ACL):
Najet Hadj Mohamed, Cherifa Ben Khelil, Agata Savary, Iskandar Keskes, Jean-Yves Antoine, and Lamia Hadrich-Belguith. 2022. Annotating Verbal Multiword Expressions in Arabic: Assessing the Validity of a Multilingual Annotation Procedure. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 1839–1848, Marseille, France. European Language Resources Association.
Cite (Informal):
Annotating Verbal Multiword Expressions in Arabic: Assessing the Validity of a Multilingual Annotation Procedure (Hadj Mohamed et al., LREC 2022)
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PDF:
https://preview.aclanthology.org/autopr/2022.lrec-1.196.pdf