
Speech and Language Processing
by Daniel Jurafsky and James H. Martin (2000)
Like 'Computational Linguistics: An Introduction', this offers a comprehensive academic exploration of language processing.

by Petra Hendriks (2000)
"This book offers a unified vision of speech and language processing, presenting state-of-the-art algorithms and techniques for both speech and text-based processing of natural language. This comprehensive work covers both statistical and symbolic approaches to language processing; it shows how they can be applied to important tasks such as speech recognition, spelling and grammar correction, information extraction, search engines, machine translation, and the creation of spoken-language dialog agents."--BOOK JACKET.
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by Daniel Jurafsky and James H. Martin (2000)
Like 'Computational Linguistics: An Introduction', this offers a comprehensive academic exploration of language processing.

by Christopher D. Manning and Hinrich Schütze (1999)
This book, similar to 'Computational Linguistics: An Introduction', delves deeply into statistical methods for NLP.

by Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze (2008)
Sharing the academic rigor of 'Computational Linguistics: An Introduction', this covers information retrieval systems.

by Steven Bird, Ewan Klein, and Edward Loper (2009)
This book offers a practical, Python-focused approach to NLP, complementing 'Computational Linguistics: An Introduction'.

by Gholamreza Jafari (2017)
This text, like 'Computational Linguistics: An Introduction', explores advanced deep learning techniques in NLP.
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