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Abstract: This thesis describes the requirements, design and algorithms for a natural language processing component. The component takes text or output from a speech recognizer and provides a simple semantic representation, suitable for a natural language interface to an application. The operational domain is small and easily changed. Dependency parsing with constraints to reduce ambiguities is used. The main objective is to have a robust algorithm that always produces some solution and rarely fails. To... (Update)
Context of citations to this paper: More
.... dependency graph analyses are transformed into semantic representations by matching the graphs against domain specific templates [Sunnehall 96] As a future extension, the DSP component will adopt graph matching techniques to yield a best fit analysis (if possible, using...
.... utilizing a Swedish uni cation based grammar [Gamb ack 1997] and an LR parser [Samuelsson 1994] DSP a domain speci c parser [Sunnehall 1996]; SWECG2CLE a conversion module that converts SWECG tags into corresponding CLE (Core Language Engine) features which can serve...
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BibTeX entry: (Update)
Joel Sunnehall. Robust parsing using dependency with constraints and preference. Master of Art Thesis, Uppsala University, Uppsala, Sweden, September 1996. http://citeseer.ist.psu.edu/sunnehall96robust.html More
@misc{ sunnehall96robust,
author = "J. Sunnehall",
title = "Robust parsing using dependency with constraints and preference",
text = "Joel Sunnehall. Robust parsing using dependency with constraints and preference.
Master of Art Thesis, Uppsala University, Uppsala, Sweden, September 1996.",
year = "1996",
url = "citeseer.ist.psu.edu/sunnehall96robust.html" }
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