Title:
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A hybrid approach to word segmentation of Vietnamese texts |
Author:
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Phuong, L.H.; Huyen, N.T.M.; Roussanaly, A.; Vinh, H.T.
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Abstract:
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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 maximalmatching
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. ?? 2008 Springer-Verlag Berlin Heidelberg. |
URI:
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http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/6636
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Date:
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2008 |