Title
Ambiguity solution of pinyin segmentation in continuous Pinyin-to-Character conversion
Abstract
Chinese Pinyin-to-character conversion is a key technology in Chinese Pinyin input system. In sentence based Pinyin-to-character conversion, segmentation of Pinyin string has important influence on performance of Pinyin-to-character conversion. There are lots of ambiguities in segmentation of Pinyin string. This paper classifies them into overlap and combinational ambiguities, and proposes disambiguation algorithms for them respectively. We then combine ambiguity resolution with several different language model to implement Pinyin-to-character conversion task, experiments show a good performance brought by proposed algorithms.
Year
DOI
Venue
2008
10.1109/NLPKE.2008.4906775
NLPKE
Keywords
Field
DocType
pinyin-to-character conversion,disambiguation algorithms,continuous pinyin-to-character conversion,ambiguity resolution,combinational ambiguities,overlap ambiguities,pinyin string segmentation,natural language processing,data mining,telecommunications,dictionaries,probability,language model,classification algorithms,probability density function
Pinyin,Computer science,Segmentation,Speech recognition,Artificial intelligence,Ambiguity resolution,Natural language processing,Statistical classification,Ambiguity,Sentence,Language model
Conference
Volume
Issue
ISSN
null
null
null
ISBN
Citations 
PageRank 
978-1-4244-2780-2
2
0.38
References 
Authors
6
4
Name
Order
Citations
PageRank
Juan Wen1112.68
Xiaojie Wang239566.31
Wenzhi Xu320.72
Hui Jiang420.72