Syntactic Annotation in the I3rab Dependency Treebank

被引：1

作者：

Halabi, Dana ^{[1
]}

Awajan, Arafat ^{[1
,3
]}

Fayyoumi, Ebaa ^{[2
]}

机构：

[1] Princess Sumaya Univ Technol, Dept Comp Sci, Amman, Jordan

[2] Hashemite Univ, Dept Comp Sci, Amman, Jordan

[3] Mutah Univ, Informat Technol Coll, Comp Sci Dept, Amman, Jordan

来源：

INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY | 2021年 / 18卷 / 3A期

关键词：

Arabic language; dependency parsing; natural language processing; dependency structure; dependency relation; annotation rules;

D O I：

10.34028/iajit/18/3A/1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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%.

引用

页码：381 / 392

页数：12

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