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Morphologically rich Urdu grammar parsing using Earley algorithm

Published online by Cambridge University Press:  16 April 2015

QAISER ABBAS
QAISER ABBAS*
Affiliation:
Fachbereich Sprachwissenschaft, Universität Konstanz, 78457 Konstanz, Germany e-mail: qaiser.abbas@uni-konstanz.de
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Abstract

This work presents the development and evaluation of an extended Urdu parser. It further focuses on issues related to this parser and describes the changes made in the Earley algorithm to get accurate and relevant results from the Urdu parser. The parser makes use of a morphologically rich context free grammar extracted from a linguistically-rich Urdu treebank. This grammar with sufficient encoded information is comparable with the state-of-the-art parsing requirements for the morphologically rich Urdu language. The extended parsing model and the linguistically rich extracted-grammar both provide us better evaluation results in Urdu/Hindi parsing domain. The parser gives 87% of f-score, which outperforms the existing parsing work of Urdu/Hindi based on the tree-banking approach.

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Articles
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Natural Language Engineering , Volume 22 , Issue 5 , September 2016 , pp. 775 - 810
Copyright
Copyright © Cambridge University Press 2015 

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