Syntactic Annotation in the I3rab Dependency

Treebank

Dana Halabi¹, Arafat Awajan^1,3, and Ebaa Fayyoumi²

¹Department of Computer Science, Princess Sumaya University for Technology, Jordan

²Department of Computer Science, Hashemite University, Jordan

³Information Technology College, Computer Science Department, Mutah University, Jordan

Abstract: 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%.

Keywords: Arabic language, dependency parsing, natural language processing, dependency structure, dependency relation, annotation rules.

Received February 20, 2021; accepted March 7, 2021

https://doi.org/10.34028/iajit/18/3A/1

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