Paper: Applying An NVEF Word-Pair Identifier To The Chinese Syllable-To-Word Conversion Problem

ACL ID C02-1089
Title Applying An NVEF Word-Pair Identifier To The Chinese Syllable-To-Word Conversion Problem
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2002
Authors

Syllable-to-word (STW) conversion is important in Chinese phonetic input methods and speech recognition. There are two major problems in the STW conversion: (1) resolving the ambigu- ity caused by homonyms; (2) determining the word segmentation. This paper describes a noun-verb event-frame (NVEF) word identifier that can be used to solve these problems effec- tively. Our approach includes (a) an NVEF word-pair identifier and (b) other word identifi- ers for the non-NVEF portion. Our experiment showed that the NVEF word-pair identifier is able to achieve a 99.66% STW accuracy for the NVEF related portion, and by combining with other identifiers for the non-NVEF portion, the overall STW accuracy is 96.50%. The result of this study indicates that the NVEF knowledge is very powerful for the ST...