Constituent structure for Filipino: Induction through probabilistic approaches

The current state of Philippine linguistic resources, which includes formal grammars, electronic dictionaries and corpora are not yet significant to address industrialstrength language technologies. This paper discusses a computational approach in automatically estimating constituent structures from...

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Main Authors: Alcantara, Danniel L., Borra, Allan
Format: text
Published: Animo Repository 2008
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2898
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-38972023-04-17T01:57:06Z Constituent structure for Filipino: Induction through probabilistic approaches Alcantara, Danniel L. Borra, Allan The current state of Philippine linguistic resources, which includes formal grammars, electronic dictionaries and corpora are not yet significant to address industrialstrength language technologies. This paper discusses a computational approach in automatically estimating constituent structures from a corpus using unsupervised probabilistic approaches. Two models are presented and results show an F1 measure of greater than 69%. Issues and phenomena of the Filipino language are identified and discussed. © 2008 by Danniel Alcantara and Allan Borra. 2008-12-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2898 Faculty Research Work Animo Repository Computational linguistics Filipino language—Context Electronic dictionaries Computer Sciences Software Engineering
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 Computational linguistics
Filipino language—Context
Electronic dictionaries
Computer Sciences
Software Engineering
spellingShingle Computational linguistics
Filipino language—Context
Electronic dictionaries
Computer Sciences
Software Engineering
Alcantara, Danniel L.
Borra, Allan
Constituent structure for Filipino: Induction through probabilistic approaches
description The current state of Philippine linguistic resources, which includes formal grammars, electronic dictionaries and corpora are not yet significant to address industrialstrength language technologies. This paper discusses a computational approach in automatically estimating constituent structures from a corpus using unsupervised probabilistic approaches. Two models are presented and results show an F1 measure of greater than 69%. Issues and phenomena of the Filipino language are identified and discussed. © 2008 by Danniel Alcantara and Allan Borra.
format text
author Alcantara, Danniel L.
Borra, Allan
author_facet Alcantara, Danniel L.
Borra, Allan
author_sort Alcantara, Danniel L.
title Constituent structure for Filipino: Induction through probabilistic approaches
title_short Constituent structure for Filipino: Induction through probabilistic approaches
title_full Constituent structure for Filipino: Induction through probabilistic approaches
title_fullStr Constituent structure for Filipino: Induction through probabilistic approaches
title_full_unstemmed Constituent structure for Filipino: Induction through probabilistic approaches
title_sort constituent structure for filipino: induction through probabilistic approaches
publisher Animo Repository
publishDate 2008
url https://animorepository.dlsu.edu.ph/faculty_research/2898
_version_ 1764211092652818432