Hung Nguyen Thanh


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Word Segmentation for Vietnamese Text Categorization An Internet-based Statistic and Genetic Algorithm Approach
Hung Nguyen Thanh | Khanh Bui Doan
Actes de la 13ème conférence sur le Traitement Automatique des Langues Naturelles. Posters

This paper suggests a novel Vietnamese segmentation approach for text categorization. Instead of using an annotated training corpus or a lexicon which are still lacking in Vietnamese, we use both statistical information extracted directly from a commercial search engine and a genetic algorithm to find the optimal routes to segmentation. The extracted information includes document frequency and n-gram mutual information. Our experiment results obtained on the segmentation and categorization of online news abstracts are very promising. It matches near 80 % human judgment on segmentation and over 90 % micro-averaging F1 in categorization. The processing time is less than one second per document when statistical information is cached.