DocumentCode
1909401
Title
Elastic neural networks for part of speech tagging
Author
Ma, Qing ; Uchimoto, Kiyotaka ; Murata, Masaki ; Isahara, Hitoshi
Author_Institution
Commun. Res. Lab., Minist. of Posts & Telecommun., Japan
Volume
5
fYear
1999
fDate
1999
Firstpage
2991
Abstract
This paper presents a part of speech (POS) neuro tagger which consists of a 3-layer perceptron with elastic input. Computer experiments show that the neuro tagger has an accuracy of 94.4% for tagging ambiguous words when a small Thai corpus with 22,311 ambiguous words is used for training. A series of comparative experiments further show that the neuro tagger is definitely far superior to the statistical models including the frequency model (a base-line model), local n-gram model, and HMM
Keywords
grammars; linguistics; multilayer perceptrons; 3-layer perceptron; Thai; ambiguous words; elastic neural networks; part-of-speech tagging; statistical models; Frequency; Hidden Markov models; Information retrieval; Natural language processing; Neural networks; Optical character recognition software; Speech processing; Speech synthesis; Tagging; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.835997
Filename
835997
Link To Document