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Conference Papers Year : 2008

A Hybrid Approach to Word Segmentation of Vietnamese Texts

Abstract

We present in this article a hybrid approach to automatically tokenize Vietnamese text. The approach combines both finite-state automata technique, regular expression parsing and the maximal-matching strategy which is augmented by statistical methods to resolve ambiguities of segmentation. The Vietnamese lexicon in use is compactly represented by a minimal finite-state automaton. A text to be tokenized is first parsed into lexical phrases and other patterns using pre-defined regular expressions. The automaton is then deployed to build linear graphs corresponding to the phrases to be segmented. The application of a maximal- matching strategy on a graph results in all candidate segmentations of a phrase. It is the responsibility of an ambiguity resolver, which uses a smoothed bigram language model, to choose the most probable segmentation of the phrase. The hybrid approach is implemented to create vnTokenizer, a highly accurate tokenizer for Vietnamese texts.
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Dates and versions

inria-00334761 , version 1 (27-10-2008)

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Hong Phuong Le, Thi Minh Huyen Nguyen, Azim Roussanaly, Tuong Vinh Ho. A Hybrid Approach to Word Segmentation of Vietnamese Texts. 2nd International Conference on Language and Automata Theory and Applications - LATA 2008, Mar 2008, Tarragona, Spain. pp.240-249, ⟨10.1007/978-3-540-88282-4_23⟩. ⟨inria-00334761⟩
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