A Greedy Approach to Unsupervised Grammar Induction for Filipino
نویسندگان
چکیده
Copyright 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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تاریخ انتشار 2008