|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."Natural Language Processing and Text Mining" by Anne Kao and Steve R Poteet|
“Natural Language Processing and Text Mining” Book Review: This book describes the topics related to text mining and natural language processing. Main chapters included are extracting product features and opinions, extracting relations from text, mining diagnostic text reports by learning, evaluating self-explanations in iSTART. Other chapters mentioned are textual signatures, automatic document separation, evolving explanatory novel patterns for semantic based text mining. Several case studies on text mining are provided throughout the book. Applications on text mining and natural language processing are provided in this book along with detailed algorithms. This book is beneficial for advanced level students studying in the field of data mining and machine learning.
7 Best Books on Speech and Natural Language Processing
We have compiled a list of the Best Reference Books on Speech and Natural Language Processing, which are used by students of top universities, and colleges. This will help you choose the right book depending on if you are a beginner or an expert. Here is the complete list of Speech and Natural Language Processing Books with their authors, publishers, and an unbiased review of them as well as links to the Amazon website to directly purchase them. If permissible, you can also download the free PDF books on Speech and Natural Language Processing below.
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