DocumentCode :
1954212
Title :
Finding Semantic Similarity in Vietnamese
Author :
Nguyen, Dat Tien ; Pham, Son Bao
Author_Institution :
Inf. Technol. Inst., Vietnam Nat. Univ., Hanoi, Vietnam
fYear :
2010
fDate :
28-30 Dec. 2010
Firstpage :
91
Lastpage :
94
Abstract :
Finding semantic similarity is an important task in many natural language processing applications. Despite numerous works for popular languages, there is still limited research done for Vietnamese. In this paper, we tackle the problem of finding semantic similarity for Vietnamese using Random Indexing and Hyperspace Analogue to Language to represent the semantics of words and documents. We build a system to find synonyms in Vietnamese. Experimental results show that our system achieves accuracies of 75% for finding synonyms for verbs and 65% for synonyms for nouns.
Keywords :
indexing; natural language processing; Vietnamese; hyperspace analogue; natural language processing; random indexing; semantic similarity; synonyms; Accuracy; Computational modeling; Context; Indexing; Information technology; Semantics; Spectral analysis; hyperspace analogue to language; random projection; semantic vector; word space model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Asian Language Processing (IALP), 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-9063-9
Type :
conf
DOI :
10.1109/IALP.2010.78
Filename :
5681551
Link To Document :
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