Best Reference Books – Speech and Natural Language Processing

We have compiled the list of Top 10 Best Reference Books on Speech and Natural Language Processing subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Speech and Natural Language Processing along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Speech and Natural Language Processing subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Speech and Natural Language Processing" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Speech and Language Processing” by Daniel Jurafsky and James H Martin

“Speech and Language Processing” Book Review: This book covers all aspects of language technology along with their recent advancements in the field. Emphasizing specifically on scientific evaluation and practical applications in the real world, the author seamlessly integrates major concepts of speech and language processing into this volume of text. An empirical approach is adopted to outline the applications of statistical and other machine-learning algorithms in corporate workplaces.

2. “Foundations of Statistical Natural Language Processing” by Chris Manning and Hinrich Schuetze

Book Review: This book provides introduction to statistical natural language processing (NLP) since the statistical approaches to processing natural language text has become widely dominant in recent years. The book contains the set of both theory and algorithms needed for building NLP tools. The book also presents a rigorous coverage of mathematical and linguistic foundations as well as in depth discussion about the statistical methods. These would allow the students and researchers to construct their own implementations. The book also covers the concept of collocation finding, word sense disambiguation, probabilistic parsing, information retrieval and many other applications.

3. “Natural Language Processing and Speech Technology” by Dafydd Gibbon

Book Review: This book focuses on the area of language processing and speech technology. The various topics included in the book are modelling, cognition, perception and behaviour; language and speech systems; multilingual research and developments; prosody; syntax, morphology, lexicon; semantics; formalisms and parsing. The book also contains various tools for development and teaching.

4. “Natural Language Processing Tools” by Elaine Ui Dhonnchadha and Elaine U. Dhonnchadha

“Natural Language Processing Tools” Book Review: This book offers a comprehensive coverage of fundamental language resources and various methods to develop Natural Language Processing tools for a language with few pre-existing language resources. It encompasses a wide variety of topics such as full code listings, finite-state morphology, corpus creation, and rule-based POS tagging and dependency parsing with their standard methods of evaluation. The book also analyzes the development of a partial dependency tagger, a morphological analyzer, a chunker for Irish, a tokenizer, and a part-of-speech tagger in great detail.

5. “Natural Language Processing Using Very Large Corpora” by S Armstrong and Kenneth W Church

“Natural Language Processing Using Very Large Corpora” Book Review: This book provides an insight into the recent advancements in the field of corpus-based natural language processing. It perfectly encapsulates the concepts covered in the numerous workshops conducted on Very Large Corpora. The advanced level of research papers presented in this book is more suited for researchers in the field of Natural Language Processing.

6. “Speech and Language Engineering HRD Edition” by Rajman Pallota

“Speech and Language Engineering” Book Review: The book offers a comprehensive introduction to the fundamental aspects of speech and language technology including syntax, phonetics, semantics, and morphology. The author intelligently integrates all the topics of general sciences to run underlying a common underlying principle. Major concepts such as speech and speaker recognition, speech signal processing, linguistic training for speech and language engineers, natural language processing and its applications are covered, both theoretically and practically. Acclaimed experts have also contributed to the content in various sub-disciplines of this field.

7. “Spoken Multimodal Human-Computer Dialogue in Mobile Environments” by Dirk Buhler Laila Dybkjaer

“Spoken Multimodal Human-Computer Dialogue in Mobile Environments” Book Review: This book includes the research papers presented in the ISCA Tutorial and Research Workshop on Multi-Modal Dialogue in Mobile Environments held at Kloster Irsee, Germany, in 2002. Development of spoken multimodal dialogue systems is covered in detail by addressing relevant topics like system architectures, dialogue management, user interface issues, multimodal output generation, and speech recognition. Usability evaluation is also discussed with special emphasis on mobile environments.


8. “Design Of Speech-based Devices illustrated edition Edition” by Pitt Ian Edwards Alistair

“Design of Speech-based Devices” Book Review: This book consists of research results found by renowned people in the field of human interaction in virtual environments, including Microsoft Research’s Virtual World Group. This volume comprehensively explores the internet-based virtual environments and networked VR systems, elaborating their applications in the real world by the public as well as research and pilot studies.

9. “Text, Speech and Dialogue: 5th International Conference” by I Kopecek and G S Bisnovatyi-Kogan

“Text, Speech and Dialogue: 5th International Conference” Book Review: This book consists of the 65 selected research papers from the 5th International Conference on Text, Speech and Dialogue, TSD 2002, held in Brno, Czech Republic, in September 2002. The text encompasses theoretical and methodological issues of Natural Language Processing like speech, text and spoken language. Their applications in different fields like algorithmic learning, web information retrieval, dialogue systems, semantic web, etc. have also been detailed in this volume.

10. “Recognizing Textual Entailment(Series – Synthesis Lectures on Human Language Technologies)” by Roth Dan Rabbi and Ido Dagan

“Recognizing Textual Entailment: Models and Applications” Book Review: This book offers a concise overview of the research conducted in the Recognition Textual Entailment (RTE) formulation adopted by the Natural Language Processing research community. Case studies are presented to provide a clear explanation of the architectures, approaches, classification, alignment, and learning in this research area. Research goals in RTE along with its underlying principles are also highlighted. The book is intended for anyone interested in this field.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Speech and Natural Language Processing – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter