[PDF] Language Processing In Advanced Learners Of English eBook

Author : Marco Schilk
Publisher : John Benjamins Publishing Company
Page : 313 pages
File Size : 17,60 MB
Release : 2020-05-15
Category : Language Arts & Disciplines
ISBN : 9027261342

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The production and processing of collocations and formulaic language is a field of growing interest in corpus linguistics and experimental psycholinguistics. In the past this fascinating field at the interface of grammar and the lexicon has been mainly studied based on English native speakers, while research focusing on second language speakers and language learners has been comparatively rare. This book proposes an integration of corpus-based and experimental methods by analysing language processing of collocation by advanced learners of English. In using corpus-derived collocational stimuli of native-like and learner-typical language use in an experimental setting, it shows how advanced German L1 learners of English process native-like collocations, L1-based interferences and non-collocating lexical combinations. This book is of interest to anyone interested in the psycholinguistic validity of collocation from a bilingual point of view, as it explores methods of tracking collocational processing of speakers working with different sets of ‘collocational preferences’.

Author : Bill VanPatten
Publisher : John Benjamins Publishing
Page : 361 pages
File Size : 13,52 MB
Release : 2010-12-15
Category : Language Arts & Disciplines
ISBN : 9027287481

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This volume is the first dedicated to the growing field of theory and research on second language processing and parsing. The fourteen papers in this volume offer cutting-edge research using a number of different languages (e.g., Arabic, Spanish, Japanese, French, German, English) and structures (e.g., relative clauses, wh-gaps, gender, number) to examine various issues in second language processing: first language influence, whether or not non-natives can achieve native-like processing, the roles of context and prosody, the effects of working memory, and others. The researchers include both established scholars and newer voices, all offering important insights into the factors that affect processing and parsing in a second language.

Author : Zhiyuan Liu
Publisher : Springer Nature
Page : 319 pages
File Size : 30,6 MB
Release : 2020-07-03
Category : Computers
ISBN : 9811555737

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This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.

Author : Nitin Indurkhya
Publisher : CRC Press
Page : 704 pages
File Size : 24,76 MB
Release : 2010-02-22
Category : Business & Economics
ISBN : 142008593X

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The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater

Author : Ela Kumar
Publisher : I. K. International Pvt Ltd
Page : 220 pages
File Size : 23,70 MB
Release : 2013-12-30
Category : Computers
ISBN : 9380578776

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Covers all aspects of the area of linguistic analysis and the computational systems that have been developed to perform the language analysis. The book is primarily meant for post graduate and undergraduate technical courses.

Author : Boonthum-Denecke, Chutima
Publisher : IGI Global
Page : 439 pages
File Size : 48,57 MB
Release : 2011-12-31
Category : Computers
ISBN : 1613504489

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"This book defines the role of advanced natural language processing within natural language processing, and alongside other disciplines such as linguistics, computer science, and cognitive science"--Provided by publisher.

Author : Masato Hagiwara
Publisher : Simon and Schuster
Page : 334 pages
File Size : 34,7 MB
Release : 2021-12-21
Category : Computers
ISBN : 1638350396

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Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. In Real-world Natural Language Processing you will learn how to: Design, develop, and deploy useful NLP applications Create named entity taggers Build machine translation systems Construct language generation systems and chatbots Use advanced NLP concepts such as attention and transfer learning Real-world Natural Language Processing teaches you how to create practical NLP applications without getting bogged down in complex language theory and the mathematics of deep learning. In this engaging book, you’ll explore the core tools and techniques required to build a huge range of powerful NLP apps, including chatbots, language detectors, and text classifiers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Training computers to interpret and generate speech and text is a monumental challenge, and the payoff for reducing labor and improving human/computer interaction is huge! Th e field of Natural Language Processing (NLP) is advancing rapidly, with countless new tools and practices. This unique book offers an innovative collection of NLP techniques with applications in machine translation, voice assistants, text generation, and more. About the book Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. Guided by clear explanations of each core NLP topic, you’ll create many interesting applications including a sentiment analyzer and a chatbot. Along the way, you’ll use Python and open source libraries like AllenNLP and HuggingFace Transformers to speed up your development process. What's inside Design, develop, and deploy useful NLP applications Create named entity taggers Build machine translation systems Construct language generation systems and chatbots About the reader For Python programmers. No prior machine learning knowledge assumed. About the author Masato Hagiwara received his computer science PhD from Nagoya University in 2009. He has interned at Google and Microsoft Research, and worked at Duolingo as a Senior Machine Learning Engineer. He now runs his own research and consulting company. Table of Contents PART 1 BASICS 1 Introduction to natural language processing 2 Your first NLP application 3 Word and document embeddings 4 Sentence classification 5 Sequential labeling and language modeling PART 2 ADVANCED MODELS 6 Sequence-to-sequence models 7 Convolutional neural networks 8 Attention and Transformer 9 Transfer learning with pretrained language models PART 3 PUTTING INTO PRODUCTION 10 Best practices in developing NLP applications 11 Deploying and serving NLP applications

Author : Edith Kaan
Publisher : John Benjamins Publishing Company
Page : 250 pages
File Size : 49,12 MB
Release : 2021-09-15
Category : Language Arts & Disciplines
ISBN : 9027258945

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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.

Author : Dan Jurafsky
Publisher : Prentice Hall
Page : 1027 pages
File Size : 33,68 MB
Release : 2009
Category : Automatic speech recognition
ISBN : 0131873210

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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.

Author : Pierre M. Nugues
Publisher : Springer Science & Business Media
Page : 524 pages
File Size : 22,78 MB
Release : 2006-11-22
Category : Computers
ISBN : 3540343369

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This book teaches the principles of natural language processing and covers linguistics issues. It also details the language-processing functions involved, including part-of-speech tagging using rules and stochastic techniques. A key feature of the book is the author's hands-on approach throughout, with extensive exercises, sample code in Prolog and Perl, and a detailed introduction to Prolog. The book is suitable for researchers and students of natural language processing and computational linguistics.