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