A Left-to-right Tagger for Word Graphs

Christer Samuelsson


Abstract
An algorithm is presented for tagging input word graphs and producing output tag graphs that are to be subjected to further syntactic processing. It is based on an extension of the basic HMM equations for tagging an input word string that allows it to handle word-graph input, where each arc has been assigned a probability. The scenario is that of some word-graph source, e.g., an acoustic speech recognizer, producing the arcs of a word graph, and the tagger will in turn produce output arcs, labelled with tags and assigned probabilities. The processing as done entirely left-to-right, and the output tag graph is constructed using a minimum of lookahead, facilitating real-time processing.
Anthology ID:
1997.iwpt-1.20
Volume:
Proceedings of the Fifth International Workshop on Parsing Technologies
Month:
September 17-20
Year:
1997
Address:
Boston/Cambridge, Massachusetts, USA
Editors:
Anton Nijholt, Robert C. Berwick, Harry C. Bunt, Bob Carpenter, Eva Hajicova, Mark Johnson, Aravind Joshi, Ronald Kaplan, Martin Kay, Bernard Lang, Alon Lavie, Makoto Nagao, Mark Steedman, Masaru Tomita, K. Vijay-Shanker, David Weir, Kent Wittenburg, Mats Wiren
Venue:
IWPT
SIG:
SIGPARSE
Publisher:
Association for Computational Linguistics
Note:
Pages:
171–176
Language:
URL:
https://aclanthology.org/1997.iwpt-1.20
DOI:
Bibkey:
Cite (ACL):
Christer Samuelsson. 1997. A Left-to-right Tagger for Word Graphs. In Proceedings of the Fifth International Workshop on Parsing Technologies, pages 171–176, Boston/Cambridge, Massachusetts, USA. Association for Computational Linguistics.
Cite (Informal):
A Left-to-right Tagger for Word Graphs (Samuelsson, IWPT 1997)
Copy Citation:
PDF:
https://aclanthology.org/1997.iwpt-1.20.pdf