%0 Book %1 jurafsky_speech_2009 %A Jurafsky, Daniel %A Martin, James H. %B Pearson international edition %D 2009 %I Pearson Prentice Hall/Pearson education international %K texttechnologie zz-k %T Speech and Language Processing : an introduction to natural language processing, computational linguistics, and speech recognition %U http://books.google.de/books?id=crxYPgAACAAJ %X For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing. An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology at all levels and with all modern technologies this text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web. The Second Edition offers a significant amount of new and extended material.

@book{jurafsky_speech_2009, abstract = {For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing. An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology at all levels and with all modern technologies this text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web. The Second Edition offers a significant amount of new and extended material.}, added-at = {2018-11-04T16:43:36.000+0100}, author = {Jurafsky, Daniel and Martin, James H.}, biburl = {https://www.bibsonomy.org/bibtex/2602f1d1e3eb43f7c535b85ff938f494d/lepsky}, interhash = {5f4a309a36c3da5e3becbf0ac5d88413}, intrahash = {602f1d1e3eb43f7c535b85ff938f494d}, keywords = {texttechnologie zz-k}, publisher = {Pearson Prentice Hall/Pearson education international}, series = {Pearson international edition}, timestamp = {2018-11-04T16:43:36.000+0100}, title = {Speech and {Language} {Processing} : an introduction to natural language processing, computational linguistics, and speech recognition}, url = {http://books.google.de/books?id=crxYPgAACAAJ}, year = 2009 }