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Abstract: analysis of written text. All of the difficulties of written language can generally be found in spoken language as well. Parsing spontaneous speech must, however, also deal with problems such as speech disfluencies, the looser notion of grammaticality, and the lack of clearly marked sentence boundaries. The contamination of the input with errors of a speech recognizer can further exacerbate these problems. Most natural language parsing algorithms are designed to analyze "clean" grammatical... (Update)
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.... un parsable words and fragments and by conducting a search for the maximal subset of the original input that is covered by the grammar [9, 13]. Natural language understanding share many features with SLU: input sentences are almost always ungrammatical or incomplete. It is...
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BibTeX entry: (Update)
A. Lavie, "GLR*: A Robust Grammar-Focused Parser for Spontaneously Spoken Language". Carnegie Mellon University Ph.D.'s dissertation. 1996. http://citeseer.ist.psu.edu/article/lavie96glr.html More
@misc{ lavie96glr,
author = "A. Lavie",
title = "GLR*: A Robust Grammar-Focused Parser for Spontaneously Spoken Language",
text = "A. Lavie, GLR*: A Robust Grammar-Focused Parser for Spontaneously Spoken
Language. Carnegie Mellon University Ph.D.'s dissertation. 1996.",
year = "1996",
url = "citeseer.ist.psu.edu/article/lavie96glr.html" }
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Documents on the same site (http://www.cs.cmu.edu/afs/cs.cmu.edu/user/alavie/www/publications.html): More
Using Context in Machine Translation of Spoken Language - Lori Levin (1995) (Correct)
An Efficient Distribution of Labor in a Two Stage Robust.. - Rose, Lavie (1997) (Correct)
Robust Parsing of Noise Contaminated and Extra-grammatical Input.. - Lavie (Correct)
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