Where Do Parsing Errors Come From

Authors:
Kaili Müürisep;Helen Nigol
Affiliations:
Institute of Computer Science, University of Tartu, Tartu, Estonia 50409;Institute of Estonian and General Linguistics, University of Tartu, Tartu, Estonia 50090
Venue:
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
Year:
2008

Citing 5
Cited 0

Constraint Grammar: A Language-Independent System for Parsing Unrestricted Text

Constraint Grammar: A Language-Independent System for Parsing Unrestricted Text
A syntactic framework for speech repairs and other disruptions

ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Edit detection and parsing for transcribed speech

NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Tagging speech repairs

HLT '94 Proceedings of the workshop on Human Language Technology
Early deletion of fillers in processing conversational speech

NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper discusses some issues of developing a parser for spoken Estonian which is based on an already existing parser for written language, and employs the Constraint Grammar framework.When we used a corpus of face-to-face everyday conversations as the training and testing material, the parser gained the recall 97.6% and the precision 91.8%. The parsing of institutional phone calls turned out to be a more complicated task, with the recall dropping by 3%. In this paper, we will focus on parsing nonfluent speech using a rule-based parser. We will give an overview of parsing errors and ways to overcome them.