A practical part-of-speech tagger

A practical part-of-speech tagger (1992)

by Doug Cutting , Julian Kupiec , Jan Pedersen , Penelope Sibun

Venue:	IN PROCEEDINGS OF THE THIRD CONFERENCE ON APPLIED NATURAL LANGUAGE PROCESSING
Citations:	325 - 5 self

Datum	Value	Source
TITLE	A Practical Part-of-Speech Tagger	SVM HeaderParse 0.2
AUTHOR NAME	Doug Cutting	SVM HeaderParse 0.2
AUTHOR AFFIL	Xerox Palo Alto Research Center	SVM HeaderParse 0.2
AUTHOR ADDR	3333 Coyote Hill Road, Palo Alto, CA 94304, USA	SVM HeaderParse 0.2
AUTHOR NAME	Julian Kupiec	SVM HeaderParse 0.2
AUTHOR AFFIL	Xerox Palo Alto Research Center	SVM HeaderParse 0.2
AUTHOR ADDR	3333 Coyote Hill Road, Palo Alto, CA 94304, USA	SVM HeaderParse 0.2
AUTHOR NAME	Jan Pedersen	SVM HeaderParse 0.2
AUTHOR AFFIL	Xerox Palo Alto Research Center	SVM HeaderParse 0.2
AUTHOR ADDR	3333 Coyote Hill Road, Palo Alto, CA 94304, USA	SVM HeaderParse 0.2
AUTHOR NAME	Penelope Sibun	SVM HeaderParse 0.2
AUTHOR AFFIL	Xerox Palo Alto Research Center	SVM HeaderParse 0.2
AUTHOR ADDR	3333 Coyote Hill Road, Palo Alto, CA 94304, USA	SVM HeaderParse 0.2
ABSTRACT	We present an implementation of a part-of-speech tagger based on a hidden Markov model. The methodology enables robust and accurate tagging with few resource requirements. Only a lexicon and some unlabeled training text are required. Accuracy exceeds 96%. We describe implementation strategies and optimizations which result in high-speed operation. Three applications for tagging are described: phrase recognition � word sense disambiguation � and grammatical function assignment. 1	SVM HeaderParse 0.2
CITATIONS	26 found	ParsCit 1.0