Syntactic annotation in the I3rab dependency treebank
Joint Authors
Fayyumi, Iba
Halabi, Dana
Ujan, Arafat
Source
The International Arab Journal of Information Technology
Issue
Vol. 18, Issue 3A (s) (31 May. 2021), pp.381-392, 12 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2021-05-31
Country of Publication
Jordan
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Arabic language and Literature
Abstract EN
Arabic dependency parsers have a poor performance compared to parsers of other languages.
Recently the impact of annotation at lexical level of dependency treebank on the overall performance of the dependency parses has been extensively investigated.
This paper focuses on the impact of coarse-grained and fine-grained dependency relations on the performance of Arabic dependency parsers.
Moreover, this paper introduces the annotation rules for I3rab dependency treebank.
Experimentally, the obtained results showed that having an appropriate set of dependency relations improves the performance of an Arabic dependency parser up to 27.55%.
American Psychological Association (APA)
Halabi, Dana& Ujan, Arafat& Fayyumi, Iba. 2021. Syntactic annotation in the I3rab dependency treebank. The International Arab Journal of Information Technology،Vol. 18, no. 3A (s), pp.381-392.
https://search.emarefa.net/detail/BIM-1439875
Modern Language Association (MLA)
Halabi, Dana…[et al.]. Syntactic annotation in the I3rab dependency treebank. The International Arab Journal of Information Technology Vol. 18, no. 3A (Special issue) (2021), pp.381-392.
https://search.emarefa.net/detail/BIM-1439875
American Medical Association (AMA)
Halabi, Dana& Ujan, Arafat& Fayyumi, Iba. Syntactic annotation in the I3rab dependency treebank. The International Arab Journal of Information Technology. 2021. Vol. 18, no. 3A (s), pp.381-392.
https://search.emarefa.net/detail/BIM-1439875
Data Type
Journal Articles
Language
English
Notes
including Appendix : p. 392
Record ID
BIM-1439875