Mathematical Foundations of Speech and Language Processing
Language: English
Published by Springer New York, 2004
Series: Book 39 of 49 - The IMA Volumes in Mathematics and its Applications
- Hardcover
- New
Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
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Add to basketItem description from seller
The role of mathematics and statistics in speech and language technologies cannot be overestimated. This is a collection of some of the most recent research results in this cutting-edge and increasingly important fieldSpeech and language techn.
Seller Inventory # 5909046
- Title
- Mathematical Foundations of Speech and Language Processing
- Author
- Johnson, Mark|Khudanpur, Sanjeev P.|Ostendorf, Mari
- Publisher
- Springer New York
- Publication year
- 2004
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 0387203265
- ISBN 13
- 9780387203263
- Series
- Book 39 of 49: The IMA Volumes in Mathematics and its Applications
Speech and language technologies continue to grow in importance as they are used to create natural and efficient interfaces between people and machines, and to automatically transcribe, extract, analyze, and route information from high-volume streams of spoken and written information.
The workshops on Mathematical Foundations of Speech Processing and Natural Language Modeling were held in the Fall of 2000 at the University of Minnesota's NSF-sponsored Institute for Mathematics and Its Applications, as part of a "Mathematics in Multimedia" year-long program. Each workshop brought together researchers in the respective technologies on the one hand, and mathematicians and statisticians on the other hand, for an intensive week of cross-fertilization.
There is a long history of benefit from introducing mathematical techniques and ideas to speech and language technologies. Examples include the source-channel paradigm, hidden Markov models, decision trees, exponential models and formal languages theory. It is likely that new mathematical techniques, or novel applications of existing techniques, will once again prove pivotal for moving the field forward.
This volume consists of original contributions presented by participants during the two workshops. Topics include language modeling, prosody, acoustic-phonetic modeling, and statistical methodology.
"Synopsis" may belong to another edition of this title.
From the Back Cover
Speech and language technologies continue to grow in importance as they are used to create natural and efficient interfaces between people and machines, and to automatically transcribe, extract, analyze, and route information from high-volume streams of spoken and written information.
The workshops on Mathematical Foundations of Speech Processing and Natural Language Modeling were held in the Fall of 2000 at the University of Minnesota's NSF-sponsored Institute for Mathematics and Its Applications, as part of a "Mathematics in Multimedia" year-long program. Each workshop brought together researchers in the respective technologies on one hand, and mathematicians and statisticians on the other hand, for an intensive week of cross-fertilization.
There is a long history of benefit from introducing mathematical techniques and ideas to speech and language technologies. Examples include the source-channel paradigm, hidden Markov models, decision trees, exponential models and formal languages theory. It is likely that new mathematical techniques, or novel applications of existing techniques, will once again prove pivotal for moving the field forward.
This volume consists of original contributions presented by participants during the two workshops. Topics include language modeling, prosody, acoustic-phonetic modeling, and statistical methodology.
"About the title" may belong to another edition of this title.
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