A greedy approach to unsupervised grammar induction for Filipino

This paper discusses the Greedy Merge Model used for an unsupervised grammar induction system for the Filipino language. The approach attempts to address the current state of Philippine linguistic resources, specifically the formal grammars, which are insubstantial for robust analysis. The Greedy Me...

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Main Authors:	Borra, Allan B., Alcantara, Danniel L.
Format:	text
Published:	Animo Repository 2008
Subjects:	Grammar induction Context-free grammar Computational linguistics
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/10064
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Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-12301
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:faculty_research-123012024-02-05T09:54:20Z A greedy approach to unsupervised grammar induction for Filipino Borra, Allan B. Alcantara, Danniel L. This paper discusses the Greedy Merge Model used for an unsupervised grammar induction system for the Filipino language. The approach attempts to address the current state of Philippine linguistic resources, specifically the formal grammars, which are insubstantial for robust analysis. The Greedy Merge Model results show an F1 measure of 69%. Generated grammar rules are presented, and current limitations of the results are discussed. 2008-11-25T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/10064 Faculty Research Work Animo Repository Grammar induction Context-free grammar Computational linguistics
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Grammar induction Context-free grammar Computational linguistics
spellingShingle	Grammar induction Context-free grammar Computational linguistics Borra, Allan B. Alcantara, Danniel L. A greedy approach to unsupervised grammar induction for Filipino
description	This paper discusses the Greedy Merge Model used for an unsupervised grammar induction system for the Filipino language. The approach attempts to address the current state of Philippine linguistic resources, specifically the formal grammars, which are insubstantial for robust analysis. The Greedy Merge Model results show an F1 measure of 69%. Generated grammar rules are presented, and current limitations of the results are discussed.
format	text
author	Borra, Allan B. Alcantara, Danniel L.
author_facet	Borra, Allan B. Alcantara, Danniel L.
author_sort	Borra, Allan B.
title	A greedy approach to unsupervised grammar induction for Filipino
title_short	A greedy approach to unsupervised grammar induction for Filipino
title_full	A greedy approach to unsupervised grammar induction for Filipino
title_fullStr	A greedy approach to unsupervised grammar induction for Filipino
title_full_unstemmed	A greedy approach to unsupervised grammar induction for Filipino
title_sort	greedy approach to unsupervised grammar induction for filipino
publisher	Animo Repository
publishDate	2008
url	https://animorepository.dlsu.edu.ph/faculty_research/10064
_version_	1792202417139351552

A greedy approach to unsupervised grammar induction for Filipino

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