Corpus-Based Methods in Language and Speech Processing
only € 15.90
edited by Steve Young and Gerrit Bloothooft
An in-depth introduction to corpus-based methods by excellent
authors through chapters describing statistical modeling
techniques for language and speech, the use of Hidden Markov
Models in continuous speech recognition, the development of
dialogue systems, part-of-speech tagging and partial parsing,
data-oriented parsing and n-gram language modeling.
The book attempts to give both a clear overview of the main
technologies used in language and speech processing, along
with sufficient mathematics to understand the underlying
principles. The book will give newcomers a solid introduction
to the field and it will give existing practitioners a
concise review of the principle technologies used in
state-of-the-art language and speech processing systems.
- Hermann Ney (1 - 26) "Corpus-Based Statistical
Methods in Speech and Language Processing"
- Kate Knill & Steve Young (27 - 68) "Hidden
Markov Models in Speech and Language
- Egidio Giachin and Scott McGlashan (69 - 117)
"Spoken Language Dialogue Systems"
- Steve Abney (118 - 136) "Part-of-Speech Tagging
and Partial Parsing"
- Rens Bod & Remko Scha (137 - 173)
"Data-Oriented Language Processing"
- Hermann Ney, Sven Martin & Frank Wessel (174 - 207)
- Bibliography (210 - 234)
ELSNET wishes to give this excellent book (hard cover, 234 pages,
Kluwer, ISBN 0-7923-4463-4) a wide distribution and offers it
for a special ELSNET price!