A greedy approach to unsupervised grammar induction for Filipino

College

College of Computer Studies

Department/Unit

Software Technology

Document Type

Article

Source Title

5th National Natural Language Processing Research Symposium, held at De La Salle University, Manila

First Page

79

Last Page

83

Publication Date

11-25-2008

Abstract

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.

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Keywords

Grammar induction; Context-free grammar; Computational linguistics

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

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