Los Angeles, CA
March 31, 2009 to April 2, 2009
The word sense disambiguation (WSD) is a tough issue in natural language processing. This paper introduces and contrasts the main approaches of WSD prevailing in the world, and analyzes their advantages and disadvantages briefly. Then the author focuses on the vector space model (VSM), and furthermore, puts forward a new method that uses the approach of multi-level sentence similarity (MLSS) computation in the VSM. The new method improves the accuracy of VSM method and overcomes the "bag of words" problem in VSM.
word sense disambiguation (WSD); machine translation (MT); vector space model (VSM); sentence similarity
Zhang Zheng, "A New Approach to Word Sense Disambiguation in MT System", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 407-411, doi:10.1109/CSIE.2009.1105