| Alternate document: Details GLR*: A Robust Grammar-Focused Parser for Spontaneously Spoken Language (96) Alon Lavie |
| Alternate document: Details GLR* A Robust Parser For Spontaneously Spoken Language (96) Alon Lavie |
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Abstract: The analysis of spoken language is widely considered to be a more challenging task than the
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... (Update)
Context of citations to this paper: More
.... 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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3.6: GLR*: A Robust Grammar-Focused Parser for Spontaneously Spoken.. - Lavie (1996)
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1.3: Robust Parsing of Noise Contaminated and Extra-grammatical Input.. - Lavie
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1.2: Balancing Robustness and Efficiency in Unification-augmented.. - Rosé, Lavie
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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/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/lavie96glr.html" }
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