Speech & Language Processing


Book Description




Speech and Language Processing


Book Description

This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.




Speech and Language Processing


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Introduction to Natural Language Processing


Book Description

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.




Understanding Second Language Process


Book Description

This book assembles 11 analytical and empirical studies on the process of second language acquisition, probing a wide array of issues, from transfer appropriate processing to L2 default processing strategies, among hearing or deaf learners of a variety of target languages including English, Japanese, Chinese, Korean, French, Spanish, and American Sign Language. Although instruction per se is not the focus of this volume, the chapters are written with instructed learners in mind, and hence offer valuable insights for both second and foreign language researchers and practitioners.




The language process


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No detailed description available for "The language process".




The Way of the Linguist


Book Description

The Way of The Linguist, A language learning odyssey. It is now a cliché that the world is a smaller place. We think nothing of jumping on a plane to travel to another country or continent. The most exotic locations are now destinations for mass tourism. Small business people are dealing across frontiers and language barriers like never before. The Internet brings different languages and cultures to our finger-tips. English, the hybrid language of an island at the western extremity of Europe seems to have an unrivalled position as an international medium of communication. But historically periods of cultural and economic domination have never lasted forever. Do we not lose something by relying on the wide spread use of English rather than discovering other languages and cultures? As citizens of this shrunken world, would we not be better off if we were able to speak a few languages other than our own? The answer is obviously yes. Certainly Steve Kaufmann thinks so, and in his busy life as a diplomat and businessman he managed to learn to speak nine languages fluently and observe first hand some of the dominant cultures of Europe and Asia. Why do not more people do the same? In his book The Way of The Linguist, A language learning odyssey, Steve offers some answers. Steve feels anyone can learn a language if they want to. He points out some of the obstacles that hold people back. Drawing on his adventures in Europe and Asia, as a student and businessman, he describes the rewards that come from knowing languages. He relates his evolution as a language learner, abroad and back in his native Canada and explains the kind of attitude that will enable others to achieve second language fluency. Many people have taken on the challenge of language learning but have been frustrated by their lack of success. This book offers detailed advice on the kind of study practices that will achieve language breakthroughs. Steve has developed a language learning system available online at: www.thelinguist.com.







Prediction in Second Language Processing and Learning


Book Description

There is ample evidence that language users, including second-language (L2) users, can predict upcoming information during listening and reading. Yet it is still unclear when, how, and why language users engage in prediction, and what the relation is between prediction and learning. This volume presents a collection of current research, insights, and directions regarding the role of prediction in L2 processing and learning. The contributions in this volume specifically address how different (L1-based) theoretical models of prediction apply to or may be expanded to account for L2 processing, report new insights on factors (linguistic, cognitive, social) that modulate L2 users’ engagement in prediction, and discuss the functions that prediction may or may not serve in L2 processing and learning. Taken together, this volume illustrates various fruitful approaches to investigating and accounting for differences in predictive processing within and across individuals, as well as across populations.




Foundations of Statistical Natural Language Processing


Book Description

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.