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Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras
Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.

Key Features

  • Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and...
Computational Linguistics and Intelligent Text Processing: 12th International Conference, CICLing 2011
Computational Linguistics and Intelligent Text Processing: 12th International Conference, CICLing 2011

CICLing 2011 was the 12th Annual Conference on Intelligent Text Processing and Computational Linguistics. The CICLing conferences provide a wide-scope forum for the discussion of the art and craft of natural language processing research as well as the best practices in its applications.

This set of two books contains four invited...

Spoken Language Processing
Spoken Language Processing

Speech processing addresses various scientific and technological areas. It includes speech analysis and variable rate coding, in order to store or transmit speech. It also covers speech synthesis, especially from text, speech recognition, including speaker and language identification, and spoken language understanding.

This book...

Word Sense Disambiguation: Algorithms and Applications (Text, Speech and Language Technology)
Word Sense Disambiguation: Algorithms and Applications (Text, Speech and Language Technology)

Word sense disambiguation is a core research problem in computational linguistics, which was recognized at the beginning of the scientific interest in machine translation and artificial intelligence. And yet no book has been fully devoted to review the wide variety of approaches to solving the problem. The time is right for such a...

NLTK Essentials
NLTK Essentials

Build cool NLP and machine learning applications using NLTK and other Python libraries

About This Book

  • Extract information from unstructured data using NLTK to solve NLP problems
  • Analyse linguistic structures in text and learn the concept of semantic analysis and parsing
  • ...
Text-to-Speech Synthesis
Text-to-Speech Synthesis

Text-to-Speech Synthesis provides a complete, end-to-end account of the process of generating speech by computer. Giving an in-depth explanation of all aspects of current speech synthesis technology, it assumes no specialized prior knowledge. Introductory chapters on linguistics, phonetics, signal processing and speech signals lay the...

Natural Language Annotation for Machine Learning
Natural Language Annotation for Machine Learning
This book is intended as a resource for people who are interested in using computers to help process natural language. A natural language refers to any language spoken by humans, either currently (e.g., English, Chinese, Spanish) or in the past (e.g., Latin, ancient Greek, Sanskrit). Annotation refers to the process...
Pattern Recognition in Speech and Language Processing (Electrical Engineering & Applied Signal Processing Series)
Pattern Recognition in Speech and Language Processing (Electrical Engineering & Applied Signal Processing Series)

Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have contributed to significant advances in this field.
...

Linguistics: An Introduction to Language and Communication
Linguistics: An Introduction to Language and Communication

This popular introductory linguistics text is unique in the way various themes are integrated throughout the book. One primary theme is the question, "How is a speaker's communicative intent recognized?" Rather than treat phonology, phonetics, morphology, syntax, semantics, and pragmatics as completely separate fields, the text...

Syntax-Based Collocation Extraction (Text, Speech and Language Technology)
Syntax-Based Collocation Extraction (Text, Speech and Language Technology)

Syntax-Based Collocation Extraction is the first book to offer a comprehensive, up-to-date review of the theoretical and applied work on word collocations. Backed by solid theoretical results, the computational experiments described based on data in four languages provide support for the book’s basic argument for using syntax-driven...

GeoSpatial Semantics: 4th International Conference, GeoS 2011, Brest, France, May 12-13, 2011
GeoSpatial Semantics: 4th International Conference, GeoS 2011, Brest, France, May 12-13, 2011

The fourth edition of the International Conference on Geospatial Semantics (GeoS 2011) was held in Brest, France, during May 12–13, 2011.

Geospatial semantics (GEOS) is an emerging research area in the domain of geographic information science. It aims at exploring strategies, computational methods, and tools to support...

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