Open AccessThe Recognition System of Sentential Nouns Phrase structure Using Conditional Random Field Model
Author(s) -
Phuridech Phopiphat,
Rachada Kongakchandra
Publication year - 2015
Publication title -
international journal of artificial intelligence and applications
Language(s) - English
Resource type - Journals
eISSN - 0976-2191
pISSN - 0975-900X
DOI - 10.5121/ijaia.2015.6405
Subject(s) - conditional random field , natural language processing , noun phrase , computer science , noun , artificial intelligence , field (mathematics) , phrase , linguistics , mathematics , philosophy , pure mathematics
The important problem of word segmentation in Thai language is sentential noun phrase. The existing\udstudies try to minimize the problem. But there is no research that solves this problem directly. This study\udinvestigates the approach to resolve this problem using conditional random fields which is a probabilistic\udmodel to segment and label sequence data. The results present that the corrected data of noun phrase was\uddetected more than 78.61 % based on our techniqu