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Output details

11 - Computer Science and Informatics

University of Leeds

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Output 5 of 95 in the submission
Article title

A standard tag set expounding traditional morphological features for Arabic language part-of-speech tagging

Type
D - Journal article
Title of journal
Word Structure Journal
Article number
-
Volume number
6
Issue number
-
First page of article
43
ISSN of journal
1750-1245
Year of publication
2013
URL
-
Number of additional authors
1
Additional information

<22>This is the first formal analysis of traditional Arabic grammarians’ theoretical research applied to NLP PoS-tagging, giving a detailed and comprehensive ontology of established Arabic word structure theory. Several Arabic PoS-tagsets have been developed for specific tasks, but generally are adapted from English models, and/or cover only a limited subset of Arabic morphology. We provide the first and only tagset unifying research in Arabic formal linguistics and NLP, a benchmark for comparison and evaluation of task-specific PoS-tagsets. Arabic NLP research is booming but fragmented; this work will enable NLP research to be grounded on established traditional Arabic linguistic theory.

Interdisciplinary
Yes
Cross-referral requested
-
Research group
None
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-