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Incorporating nonverbal features into multimodal models of human-to-human communication
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In: Theses and Dissertations Available from ProQuest (2008)
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Structural event detection for rich transcription of speech
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In: Theses and Dissertations Available from ProQuest (2004)
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The Effect of Pruning and Compression on Graphical Representations of the Output of a Speech Recognizer
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In: Electrical and Computer Engineering Faculty Research and Publications (2003)
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Statistical parsing and language modeling based on constraint dependency grammar
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In: Theses and Dissertations Available from ProQuest (2003)
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Investigating Probabilistic Constraint Dependency Grammars in Language Modeling
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In: Department of Electrical and Computer Engineering Technical Reports (2001)
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Familiarity and Pronounceability of Nouns and Names
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In: Electrical and Computer Engineering Faculty Research and Publications (1999)
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Parsing and tagging sentences containing lexically ambiguous and unknown tokens
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In: Theses and Dissertations Available from ProQuest (1999)
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Prosodic disambiguation in automatic speech understanding of Thai
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In: Theses and Dissertations Available from ProQuest (1995)
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Improving hidden Markov models for speech recognition
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In: Theses and Dissertations Available from ProQuest (1995)
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PARSEC: A Constraint-Based Parser for Spoken Language Processing
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In: Department of Electrical and Computer Engineering Technical Reports (1993)
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Abstract:
PARSEC (1), a text-based and spoken language processing framework based on the Constraint Dependency Grammar (CDG) developed by Maruyama [26,27], is discussed. The scope of CDG is expanded to allow for the analysis of sentences containing lexically ambiguous words, to allow feature analysis in constraints, and to efficiently process multiple sentence candidates that are likely to arise in spoken language processing. The benefits of the CDG parsing approach are summarized. Additionally, the development CDG grammars using PARSEC grammar writing tools and the implementation of the PARSEC parser for word graphs is discussed. (1) Parallel ARchitecture Sentence Constrainer
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URL: https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1240&context=ecetr https://docs.lib.purdue.edu/ecetr/237
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