Date of Publication
2009
Document Type
Master's Thesis
Degree Name
Master of Science in Computer Science
Subject Categories
Computer Sciences
College
College of Computer Studies
Department/Unit
Computer Science
Thesis Adviser
Rachel Edita O. Roxas
Defense Panel Chair
Charibeth K. Cheng
Defense Panel Member
Allan B. Borra
Rachel Edita O. Roxas
Abstract/Summary
An approach to automatic acquisition of morphological rules for Tagalog verbs is presented adopting a modified version of Moving Contracting Window Pattern Algorithm (MCWPA) (Yang, 2001) for segmenting the inflected verbs into affixes and its bases. The input to the system is a database of verbs and their corresponding inflections. 90% of this input is taken to serve as the training set and the remaining 10% to serve as the testing data. There are three phases to acquire the rules automatically: (1) segmentation of the target words in which the inflected forms of the verbs are divided into three splits. The first split is the part of target before the pattern key string is found, whereas the second split is considered the base form and the third split is automatically considered the suffix added to the verb; (2) discovering the affix/es added to the verb at the beginning or at the middle of the base form by processing the first split taken from segmentation and (3) acquiring the rule based from the affix/es added to the verbs based from the two succeeding processes expressed in a notation. The algorithm has achieved 89% and 87% accuracy in morphological generation and analysis respectively.
Abstract Format
html
Language
English
Format
Electronic
Accession Number
CDTG004590
Shelf Location
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
Physical Description
x, 110 leaves ; 28 cm.
Keywords
Tagalog language--Verb; Natural language processing (Computer science); Morphology (Linguistics)
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Recommended Citation
Yturralde, O. L. (2009). Automatic acquisition of morphological rules for tagalog verbs. Retrieved from https://animorepository.dlsu.edu.ph/etd_masteral/3782