Automatic Sentence Structure Annotation for Spoken.
David Gelbart B.S. (University of British Columbia) 1999 A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Engineering-Electrical Engineering and Computer Sciences in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Nelson Morgan, Chair.
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Speech repairs, intonational phrases, and discourse markers: modeling speakers' utterances in spoken. Intonational Boundaries and Discourse Markers: Modeling Speakers' Utterances in Spoken Dialogue. Doctoral dissertation, Department. Shriberg, Elizabeth E., Rebecca Bates, and Andreas Stolcke. 1997. A prosody-only decision-tree model for.
Bayesian Learning of Probabilistic Language Models by Andreas Stolcke Abstract The general topic of this thesis is the probabilistic modeling of language, in particular natural language. In probabilistic language modeling, one characterizes the strings of phonemes, words, etc. of a certain domain.
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