Work

Universal Dependencies for Arabic

Year: 2017

Type: conference-paper

Abstract: We describe the process of creating NUDAR, a Universal Dependency treebank for Arabic.We present the conversion from the Penn Arabic Treebank to the Universal Dependency syntactic representation through an intermediate dependency representation.We discuss the challenges faced in the conversion of the trees, the decisions we made to solve them, and the validation of our conversion.We also present initial parsing results on NUDAR.

Source: Arabic Natural Language Processing Workshop (WANLP)

DOI: 10.18653/v1/w17-1320

Authors: Dima Taji, Nizar Habash, Daniel Zeman

Institutions: New York University Abu Dhabi, Charles University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Grantová Agentura České Republiky

OpenAlex ID: W2740870334