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Author: Walter Daelemans Publisher: Cambridge University Press ISBN: 1139445367 Category : Language Arts & Disciplines Languages : en Pages : 199
Book Description
Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct reuse of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information. By applying the model to a range of benchmark problems, the authors show that for linguistic areas ranging from phonology to semantics, it produces excellent results. They also describe TiMBL, a software package for memory-based language processing. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers.
Author: Walter Daelemans Publisher: Cambridge University Press ISBN: 1139445367 Category : Language Arts & Disciplines Languages : en Pages : 199
Book Description
Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct reuse of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information. By applying the model to a range of benchmark problems, the authors show that for linguistic areas ranging from phonology to semantics, it produces excellent results. They also describe TiMBL, a software package for memory-based language processing. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers.
Author: Walter Daelemans Publisher: Cambridge University Press ISBN: 9780521808903 Category : Computers Languages : en Pages : 208
Book Description
Memory-based language processing--a machine learning and problem solving method for language technology--is based on the idea that the direct re-use of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information.
Author: Sandra Kübler Publisher: John Benjamins Publishing ISBN: 9027249911 Category : Language Arts & Disciplines Languages : en Pages : 303
Book Description
Memory-Based Learning (MBL), one of the most influential machine learning paradigms, has been applied with great success to a variety of NLP tasks. This monograph describes the application of MBL to robust parsing. Robust parsing using MBL can provide added functionality for key NLP applications, such as Information Retrieval, Information Extraction, and Question Answering, by facilitating more complex syntactic analysis than is currently available. The text presupposes no prior knowledge of MBL. It provides a comprehensive introduction to the framework and goes on to describe and compare applications of MBL to parsing. Since parsing is not easily characterizable as a classification task, adaptations of standard MBL are necessary. These adaptations can either take the form of a cascade of local classifiers or of a holistic approach for selecting a complete tree.The text provides excellent course material on MBL. It is equally relevant for any researcher concerned with symbolic machine learning, Information Retrieval, Information Extraction, and Question Answering.
Author: Stephan Raaijmakers Publisher: Simon and Schuster ISBN: 1638353999 Category : Computers Languages : en Pages : 294
Book Description
Explore the most challenging issues of natural language processing, and learn how to solve them with cutting-edge deep learning! Inside Deep Learning for Natural Language Processing you’ll find a wealth of NLP insights, including: An overview of NLP and deep learning One-hot text representations Word embeddings Models for textual similarity Sequential NLP Semantic role labeling Deep memory-based NLP Linguistic structure Hyperparameters for deep NLP Deep learning has advanced natural language processing to exciting new levels and powerful new applications! For the first time, computer systems can achieve "human" levels of summarizing, making connections, and other tasks that require comprehension and context. Deep Learning for Natural Language Processing reveals the groundbreaking techniques that make these innovations possible. Stephan Raaijmakers distills his extensive knowledge into useful best practices, real-world applications, and the inner workings of top NLP algorithms. About the technology Deep learning has transformed the field of natural language processing. Neural networks recognize not just words and phrases, but also patterns. Models infer meaning from context, and determine emotional tone. Powerful deep learning-based NLP models open up a goldmine of potential uses. About the book Deep Learning for Natural Language Processing teaches you how to create advanced NLP applications using Python and the Keras deep learning library. You’ll learn to use state-of the-art tools and techniques including BERT and XLNET, multitask learning, and deep memory-based NLP. Fascinating examples give you hands-on experience with a variety of real world NLP applications. Plus, the detailed code discussions show you exactly how to adapt each example to your own uses! What's inside Improve question answering with sequential NLP Boost performance with linguistic multitask learning Accurately interpret linguistic structure Master multiple word embedding techniques About the reader For readers with intermediate Python skills and a general knowledge of NLP. No experience with deep learning is required. About the author Stephan Raaijmakers is professor of Communicative AI at Leiden University and a senior scientist at The Netherlands Organization for Applied Scientific Research (TNO). Table of Contents PART 1 INTRODUCTION 1 Deep learning for NLP 2 Deep learning and language: The basics 3 Text embeddings PART 2 DEEP NLP 4 Textual similarity 5 Sequential NLP 6 Episodic memory for NLP PART 3 ADVANCED TOPICS 7 Attention 8 Multitask learning 9 Transformers 10 Applications of Transformers: Hands-on with BERT
Author: Jeanette Altarriba Publisher: Cambridge University Press ISBN: 1107008905 Category : Education Languages : en Pages : 387
Book Description
A comprehensive and interdisciplinary approach to the study of memory, language and cognitive processing across various populations of bilingual speakers.
Author: Nicolas Nicolov Publisher: John Benjamins Publishing ISBN: 9027294682 Category : Language Arts & Disciplines Languages : en Pages : 418
Book Description
This volume brings together revised versions of a selection of papers presented at the 2003 International Conference on “Recent Advances in Natural Language Processing”. A wide range of topics is covered in the volume: semantics, dialogue, summarization, anaphora resolution, shallow parsing, morphology, part-of-speech tagging, named entity, question answering, word sense disambiguation, information extraction. Various ‘state-of-the-art’ techniques are explored: finite state processing, machine learning (support vector machines, maximum entropy, decision trees, memory-based learning, inductive logic programming, transformation-based learning, perceptions), latent semantic analysis, constraint programming. The papers address different languages (Arabic, English, German, Slavic languages) and use different linguistic frameworks (HPSG, LFG, constraint-based DCG). This book will be of interest to those who work in computational linguistics, corpus linguistics, human language technology, translation studies, cognitive science, psycholinguistics, artificial intelligence, and informatics.
Author: John W. Schwieter Publisher: Cambridge University Press ISBN: 1108960502 Category : Language Arts & Disciplines Languages : en Pages : 1211
Book Description
Bringing together cutting-edge research, this Handbook is the first comprehensive text to examine the pivotal role of working memory in first and second language acquisition, processing, impairments, and training. Authored by a stellar cast of distinguished scholars from around the world, the Handbook provides authoritative insights on work from diverse, multi-disciplinary perspectives, and introduces key models of working memory in relation to language. Following an introductory chapter by working memory pioneer Alan Baddeley, the collection is organized into thematic sections that discuss working memory in relation to: Theoretical models and measures; Linguistic theories and frameworks; First language processing; Bilingual acquisition and processing; and Language disorders, interventions, and instruction. The Handbook is sure to interest and benefit researchers, clinicians, speech therapists, and advanced undergraduate and postgraduate students in linguistics, psychology, education, speech therapy, cognitive science, and neuroscience, or anyone seeking to learn more about language, cognition and the human mind.
Author: Alexander Clark Publisher: John Wiley & Sons ISBN: 1118448677 Category : Language Arts & Disciplines Languages : en Pages : 802
Book Description
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies
Author: Mick Randall Publisher: John Benjamins Publishing ISBN: 9789027219770 Category : Language Arts & Disciplines Languages : en Pages : 238
Book Description
This book explores the contributions that cognitive linguistics and psychology, including neuropsychology, have made to the understanding of the way that second languages are processed and learnt. It examines areas of phonology, word recognition and semantics, examining 'bottom-up' decoding processes as compared with 'top-down' processes as they affect memory. It also discusses second language learning from the acquisition/learning and nativist/connectionist perspectives. These ideas are then related to the methods that are used to teach second languages, primarily English, in formal classroom situations. This examination involves both 'mainstream' communicative approaches, and more traditional methods widely used to teach EFL throughout the world. The book is intended to act both as a textbook for students who are studying second language teaching and as an exploration of issues for the interested teacher who would like to further extend their understanding of the cognitive processes underlying their teaching.Mick Randall is currently Senior Lecturer in TESOL and Head of the Institute of Education at the British University in Dubai. He has taught courses in second language learning and teaching, applied linguistics and psychology in a number of different contexts. He has a special interest in the cognitive processing of language and in the psycholinguistics of word recognition, spelling and reading.
Author: Roberto R. Heredia Publisher: Elsevier ISBN: 9780444508478 Category : Language Arts & Disciplines Languages : en Pages : 400
Book Description
This volume provides an overview of the literature on bilingual sentence processing from a psycholinguistic and linguistic perspective. Research focuses on both the visual and spoken modalities including specific areas ofresearch interest including an integrated review of methods and the utility of those methods which allows readers to have the appropriate background and context for the chapters that follow.
Author: Walter Daelemans
Author: Walter Daelemans
Author: Walter Daelemans
Author: Sandra Kübler
Author: Stephan Raaijmakers
Author: Jeanette Altarriba
Author: Nicolas Nicolov
Author: John W. Schwieter
Author: Alexander Clark
Author: Mick Randall
Author: Roberto R. Heredia