Practical Natural Language Processing

Natural Language Semantics discusses fundamental concepts for linguistic semantics. This book combines theoretical explanations of several methods of inquiry with detailed semantic analysis and emphas

Natural Language Semantics discusses fundamental concepts for linguistic semantics. This book combines theoretical explanations of several methods of inquiry with detailed semantic analysis and emphas

This book offers a state-of-the-art survey of methods and techniques for structuring, acquiring and maintaining lexical resources for speech and language processing. The first chapter provides a b

This comprehensive workbook offers a thorough review of today's high performance plastics and manufacturing processes. Focusing on common processing problems and practical solutions this book surveys

Computational Complexity and Natural Language heralds an entirely new way of looking at grammatical systems. It applies the recently developed computer science tool of complexity theory to the study o

Examining a key issue in second language acquisition (SLA) research, this book explores the relation between second language (L2) production and comprehension at the level of processing. The central q

Text is everywhere, and it is a fantastic resource for social scientists. However, because it is so abundant, and because language is so variable, it is often difficult to extract the information we want. There is a whole subfield of AI concerned with text analysis (natural language processing). Many of the basic analysis methods developed are now readily available as Python implementations. This Element will teach you when to use which method, the mathematical background of how it works, and the Python code to implement it.

Language, apart from its cultural and social dimension, has a scientific side that is connected not only to the study of 'grammar' in a more or less traditional sense, but also to disciplines like mathematics, physics, chemistry and biology. This book explores developments in linguistic theory, looking in particular at the theory of generative grammar from the perspective of the natural sciences. It highlights the complex and dynamic nature of language, suggesting that a comprehensive and full understanding of such a species-specific property will only be achieved through interdisciplinary work.

Seismic data must be interpreted using digital signal processing techniques in order to create accurate representations of petroleum reservoirs and the interior structure of the Earth. This book provides an advanced overview of digital signal processing (DSP) and its applications to exploration seismology using real-world examples. The book begins by introducing seismic theory, describing how to identify seismic events in terms of signals and noise, and how to convert seismic data into the language of DSP. Deterministic DSP is then covered, together with non-conventional sampling techniques. The final part covers statistical seismic signal processing via Wiener optimum filtering, deconvolution, linear-prediction filtering and seismic wavelet processing. With over sixty end-of-chapter exercises, seismic data sets and data processing MATLAB codes included, this is an ideal resource for electrical engineering students unfamiliar with seismic data, and for Earth Scientists and petroleum pr

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing. The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools. All the concepts in Practical Machine Learning and Image Processing are explained using r

Understand the benefits of robust statistics for signal processing with this authoritative yet accessible text. The first ever book on the subject, it provides a comprehensive overview of the field, moving from fundamental theory through to important new results and recent advances. Topics covered include advanced robust methods for complex-valued data, robust covariance estimation, penalized regression models, dependent data, robust bootstrap, and tensors. Robustness issues are illustrated throughout using real-world examples and key algorithms are included in a MATLAB Robust Signal Processing Toolbox accompanying the book online, allowing the methods discussed to be easily applied and adapted to multiple practical situations. This unique resource provides a powerful tool for researchers and practitioners working in the field of signal processing.

This open access book provides new methodological and theoretical insights into temporal reference and its linguistic expression, from a cross-linguistic experimental corpus pragmatics approach. Verbal tenses, in general, and more specifically the categories of tense, grammatical and lexical aspect are treated as cohesion ties contributing to the temporal coherence of a discourse, as well as to the cognitive temporal coherence of the mental representations built in the language comprehension process. As such, it investigates the phenomenon of temporal reference at the interface between corpus linguistics, theoretical linguistics and pragmatics, experimental pragmatics, psycholinguistics, natural language processing and machine translation.

Language, apart from its cultural and social dimension, has a scientific side that is connected not only to the study of 'grammar' in a more or less traditional sense, but also to disciplines like mathematics, physics, chemistry and biology. This book explores developments in linguistic theory, looking in particular at the theory of generative grammar from the perspective of the natural sciences. It highlights the complex and dynamic nature of language, suggesting that a comprehensive and full understanding of such a species-specific property will only be achieved through interdisciplinary work.

A vital resource on speech and language processing in bilingual adults and childrenThe Listening Bilingual brings together in one volume the various components of spoken language processing in bilingu

A vital resource on speech and language processing in bilingual adults and childrenThe Listening Bilingual brings together in one volume the various components of spoken language processing in bilingu

Licensing Electronic Resources in Academic Libraries: A Practical Handbook provides librarians charged with reviewing, negotiating, and processing licenses with fundamental information that will ensur

Teacher Development Over Time: Practical Activities for Language Teachers addresses teacher learning over the span of the careers of both novice and experienced teachers in English Language Teaching (

Teacher Development Over Time: Practical Activities for Language Teachers addresses teacher learning over the span of the careers of both novice and experienced teachers in English Language Teaching (

This book constitutes revised selected papers from the 6th International Conference on Arabic Language Processing, ICALP 2017, held in Fez, Morocco, in October 2017. The 18 full papers presented in

This important volume brings together significant findings on the neural bases of spoken language –its processing, use, and organization, including its phylogenetic roots. Employing a potent mix of co

This book constitutes the refereed proceedings of the 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, held in Liège, Belgium, in June 201

Originally designed to make it simpler for digital artists to learn to program, Processing is a wonderful first language for anyone to learn. Given its origins, programming graphics, animations, and i

This book presents a new theory of the relationship between vagueness, context-sensitivity, gradability, and scale structure in natural language. Heather Burnett argues that it is possible to distingu

This book presents a new theory of the relationship between vagueness, context-sensitivity, gradability, and scale structure in natural language. Heather Burnett argues that it is possible to distingu

Gain the skills required to create fun and enthralling games using GameMaker: Studio, and it's GML programming language. In this full-color book you’ll learn 24 practical programming elements that are

Every person who encounters or learns another language is faced with the challenge of processing many new words in a short period of time. What are the conditions under which a learner can acquire those words successfully and process them to long-term memory? How do language and memory faculties interact? What role do the senses play in this process? Are factors such as age or individual backgrounds of learners to be considered? Taking the reader on a fascinating journey through the brain to demonstrate how language is processed, Ulf Schütze explains the dynamic environment involved in recording and producing words. The book also discusses how to use information technology, such as Apps, to make the learning of words entertaining and efficient.

This is the first volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration bas

This book constitutes the refereed proceedings of the 4th International Conference on Statistical Language and Speech Processing, SLSP 2016, held in Pilsen, Czech Republic, in October 2016. The 11 ful

This book highlights the challenges in sustainable wet processing of textiles, natural dyes, enzymatic textiles and sustainable textile finishes. Textile industry is known for its chemical processing

This book aims to develop a panoramic review of both classical and modern works in the field of NLP. It offers a unified view of fields often considered divergent such as speech processing, computatio

Steamed Breads: Ingredients, Processing, and Quality provides an overview of all aspects of steamed bread and steamed bun technology. A valuable resource for those interested in the practical, technic

This book constitutes the refereed proceedings of the 5th International Workshop on Controlled Natural Language, CNL 2016, held in Aberdeen, UK, in July 2016. The 11 full papers presented were careful

This book introduces an approach to understanding and measuring working memory components and functions in second language learning, processing and development. It presents comprehensive, thorough and

This book introduces an approach to understanding and measuring working memory components and functions in second language learning, processing and development. It presents comprehensive, thorough and

This book describes the signal, image and video processing methods and techniques for fire detection and provides a thorough and practical overview of this important subject, as a number of new method

This book aims to inform researchers with an interest in natural language generation about advances in the field. It is organised around four topics - system architectures, content planning, discourse

This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. The approach is practical, the aim being to acquaint the reader with the indications for and drawb

This book constitutes the refereed proceedings of the Third International Conference on Statistical Language and Speech Processing, SLSP 2015, held in Budapest, Hungary, in November 2015. The 26 full

This book covers state-of-the-art topics on the practical implementation of Spoken Dialog Systems and intelligent assistants in everyday applications. It presents scientific achievements in language p

Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation’s Giraph framework for graph processing. This is the same framewo