The dissertation of Andreas Stolcke is approved: University of ...

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BIBLIOGRAPHY 188——, & ——. 1992b. A probabilistic parser applied to software testing documents. In Proceedings of the 8thNational Conference on Artificial Intelligence, 332–328, San Jose, CA. AAAI Press.JURAFSKY, DANIEL, CHUCK WOOTERS, GARY TAJCHMAN, JONATHAN SEGAL, ANDREAS STOLCKE, ERICFOSLER, & NELSON MORGAN. 1994a. The Berkeley Restaurant Project. In Proceedings InternationalConference on Spoken Language Processing, Yokohama.——, CHUCK WOOTERS, GARY TAJCHMAN, JONATHAN SEGAL, ANDREAS STOLCKE, & NELSON MORGAN.1994b. Integrating experimental models of syntax, phonology and accent/dialect in a speech recognizer.In AAAI Workshop on the Integration of Natural Language and Speech Processing, ed. by Paul McKevitt,Seattle, WA.KAPLAN, RONALD M., & JOAN BRESNAN. 1982. Lexical functional grammar: A formal system for grammaticalrepresentation. In The Mental Representation of Grammatical Relations, ed. by Joan Bresnan, 173–281.Cambridge, Mass.: MIT Press.KATZ, SLAVA M. 1987. Estimation of probabilities from sparse data for the language model component of aspeech recognizer. IEEE Transactions on Acoustics, Speech, and Signal Processing 35.400–401.KUPIEC, JULIAN. 1992a. Hidden Markov estimation for unrestricted stochastic context-free grammars. InProceedings IEEE Conference on Acoustics, Speech and Signal Processing, volume 1, 177–180, SanFrancisco.——. 1992b. Robust part-of-speech tagging using a hidden Markov model. Computer Speech and Language6.225–242.LANGLEY, PAT, 1994. Simplicity and representation change in grammar induction. Unpublished mss.LARI, K., & S. J. YOUNG. 1990. The estimation of stochastic context-free grammars using the Inside-Outsidealgorithm. Computer Speech and Language 4.35–56.——, & ——. 1991. Applications of stochastic context-free grammars using the Inside-Outside algorithm.Computer Speech and Language 5.237–257.LEE, H. C., & K. S. FU. 1972. Stochastic linguistics for picture recognition. Technical Report TR-EE 72-17,School of Electical Engineering, Purdue University.MAGERMAN, DAVID M., & MITCHELL P. MARCUS. 1991. Pearl: A probabilistic chart parser. In Proceedingsof the 6th Conference of the European Chapter of the Association for Computational Linguistics, Berlin,Germany.——, & CARL WEIR. 1992. Efficiency, robustness and accuracy in Picky chart parsing. In Proceedings of the30th Annual Meeting of the Association for Computational Linguistics, 40–47, University of Delaware,Newark, Delaware.
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The dissertation of Andreas Stolcke
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Bayesian Learning of Probabilistic
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iAcknowledgmentsLife and work in Be
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iiiContentsList of FiguresList of T
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CONTENTSv4.5.4 Summary and Discussi
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CHAPTER 1. INTRODUCTION 2Instance-b
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CHAPTER 3. HIDDEN MARKOV MODELS 48c
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CHAPTER 3. HIDDEN MARKOV MODELS 50d
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correlation between initial and fin
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CHAPTER 3. HIDDEN MARKOV MODELS 62b
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CHAPTER 3. HIDDEN MARKOV MODELS 64t
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CHAPTER 3. HIDDEN MARKOV MODELS 66t
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CHAPTER 3. HIDDEN MARKOV MODELS 68s
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CHAPTER 3. HIDDEN MARKOV MODELS 74b
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domain. 3 In short, we will leave o
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104Chapter 5Probabilistic Attribute
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CHAPTER 5. PROBABILISTIC ATTRIBUTE
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122Chapter 6Efficient parsing with
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1z1CHAPTER 6. EFFICIENT PARSING WIT
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and each state in set ( -ÏH ):6)
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NPDetVTVI P CHAPTER 6. EFFICIENT PA
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CHAPTER 6. EFFICIENT PARSING WITH S
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) In particular, the string probabi
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Page 180 and 181: 168Chapter 7-grams from Stochastic
Page 182 and 183: CHAPTER 7. -GRAMS FROM STOCHASTIC
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Page 186 and 187: -grams CCHAPTER 7. -GRAMS FROM ST
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Page 192 and 193: Consider the following problem: sta
Page 194 and 195: CHAPTER 8. FUTURE DIRECTIONS 1828.2
Page 196 and 197: 184BibliographyAHO, ALFRED V., RAVI
Page 198 and 199: BIBLIOGRAPHY 186DAGAN, IDO, FERNAND
Page 202 and 203: BIBLIOGRAPHY 190QUINLAN, J. ROSS, &
Page 204: BIBLIOGRAPHY 192WALLACE, C. S., & P
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