Download or read book Memory Based Language Processing written by Walter Daelemans and published by Cambridge University Press. This book was released on 2005-09 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Memory based Language Processing written by and published by . This book was released on 2005 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the theory and practice of memory-based language processing - a machine learning and problem solving method for language technology - showing its comparative strengths over alternative methods of language modelling. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers.

Download or read book Memory based Parsing written by Sandra Kübler and published by John Benjamins Publishing. This book was released on 2004-01-01 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Memory Based Parsing written by Sandra Kübler and published by John Benjamins Publishing. This book was released on 2004-10-31 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Memory Based Logic Synthesis written by Tsutomu Sasao and published by Springer Science & Business Media. This book was released on 2011-03-01 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the synthesis of logic functions using memories. It is useful to design field programmable gate arrays (FPGAs) that contain both small-scale memories, called look-up tables (LUTs), and medium-scale memories, called embedded memories. This is a valuable reference for both FPGA system designers and CAD tool developers, concerned with logic synthesis for FPGAs.

Download or read book Memory Psychology and Second Language Learning written by Mick Randall and published by John Benjamins Publishing. This book was released on 2007 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Deep Learning for Natural Language Processing written by Stephan Raaijmakers and published by Simon and Schuster. This book was released on 2022-12-20 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Recent Advances in Natural Language Processing III written by Nicolas Nicolov and published by John Benjamins Publishing. This book was released on 2004 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, dialog, 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.

Download or read book The Handbook of Computational Linguistics and Natural Language Processing written by Alexander Clark and published by John Wiley & Sons. This book was released on 2013-04-24 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Memory Language and Bilingualism written by Jeanette Altarriba and published by Cambridge University Press. This book was released on 2013 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and interdisciplinary approach to the study of memory, language and cognitive processing across various populations of bilingual speakers.

Download or read book Speech to Speech Translation written by Hiroaki Kitano and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speech--to--Speech Translation: a Massively Parallel Memory-Based Approach describes one of the world's first successful speech--to--speech machine translation systems. This system accepts speaker-independent continuous speech, and produces translations as audio output. Subsequent versions of this machine translation system have been implemented on several massively parallel computers, and these systems have attained translation performance in the milliseconds range. The success of this project triggered several massively parallel projects, as well as other massively parallel artificial intelligence projects throughout the world. Dr. Hiroaki Kitano received the distinguished `Computers and Thought Award' from the International Joint Conferences on Artificial Intelligence in 1993 for his work in this area, and that work is reported in this book.

Download or read book Computational Linguistics in the Netherlands 1998 written by and published by BRILL. This book was released on 2021-07-26 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a selection of the papers which were presented at the ninth conference on Computational Linguistics in the Netherlands (Leuven, 1998). It gives an accurate and up-to-date picture of the lively scene of computational linguistics in the Netherlands and Flanders. In terms of topics the contributions can be grouped under three headings: the use of statistical methods in speech and language processing (6 papers), the analysis of syntactic and semantic phenomena in the framework of computationally oriented formalisms, such as Head-driven Phrase Structure Grammar (5 papers), and the development of NLP applications, such as document processing, dialogue modelling and teaching (3 papers). The volume covers the whole range from theoretical to applied research and development, and is hence of interest to both academia and industry. The target audience consists of advanced students and scholars of computational linguistics, and speech and language processing (Linguistics, Computer Science, Electrical Engineering).

Download or read book Computational Linguistics in the Netherlands 1998 written by F. van Eynde and published by Rodopi. This book was released on 2000 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a selection of the papers which were presented at the ninth conference on Computational Linguistics in the Netherlands (Leuven, 1998). It gives an accurate and up-to-date picture of the lively scene of computational linguistics in the Netherlands and Flanders. In terms of topics the contributions can be grouped under three headings: the use of statistical methods in speech and language processing (6 papers), the analysis of syntactic and semantic phenomena in the framework of computationally oriented formalisms, such as Head-driven Phrase Structure Grammar (5 papers), and the development of NLP applications, such as document processing, dialogue modelling and teaching (3 papers). The volume covers the whole range from theoretical to applied research and development, and is hence of interest to both academia and industry. The target audience consists of advanced students and scholars of computational linguistics, and speech and language processing (Linguistics, Computer Science, Electrical Engineering).

Download or read book Stevens Handbook of Experimental Psychology Memory and Cognitive Processes written by Douglas Medin and published by John Wiley & Sons. This book was released on 2004-02-05 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now available in paperback. This revised and updated edition of the definitive resource for experimental psychology offers comprehensive coverage of the latest findings in the field, as well as the most recent contributions in methodology and the explosion of research in neuroscience. Volume Two: Memory and Cognitive Processes, focuses on the neurological and cognitive processes on topics such as memory, decision-making, spatial cognition, linguistics, reasoning, and concepts.

Download or read book Inductive Dependency Parsing written by Joakim Nivre and published by Springer Science & Business Media. This book was released on 2006-08-05 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. Coverage includes a theoretical analysis of central models and algorithms, and an empirical evaluation of memory-based dependency parsing using data from Swedish and English. A one-stop reference to dependency-based parsing of natural language, it will interest researchers and system developers in language technology, and is suitable for graduate or advanced undergraduate courses.

Download or read book Time constrained Memory written by Jean-Pierre Corriveau and published by Psychology Press. This book was released on 2014-02-04 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book tries to answer the question posed by Minsky at the beginning of The Society of Mind: "to explain the mind, we have to show how minds are built from mindless stuff, from parts that are much smaller and simpler than anything we'd considered smart." The author believes that cognition should not be rooted in innate rules and primitives, but rather grounded in human memory. More specifically, he suggests viewing linguistic comprehension as a time-constrained process -- a race for building an interpretation in short term memory. After reviewing existing psychological and computational approaches to text understanding and concluding that they generally rely on self-validating primitives, the author abandons this objectivist and normative approach to meaning and develops a set of requirements for a grounded cognitive architecture. He then goes on to explain how this architecture must avoid all epistemological commitments, be tractable both with respect to space and time, and, most importantly, account for the diachronic and non-deterministic nature of comprehension. In other words, a text may or may not lead to an interpretation for a specific reader, and may be associated with several interpretations over time by one reader. Throughout the remainder of the book, the author demonstrates that rules for all major facets of comprehension -- syntax, reference resolution, quantification, lexical and structural disambiguation, inference and subject matter -- can be expressed in terms of the simple mechanistic computing elements of a massively parallel network modeling memory. These elements, called knowledge units, work in a limited amount of time and have the ability not only to recognize but also to build the structures that make up an interpretation. Designed as a main text for graduate courses, this volume is essential to the fields of cognitive science, artificial intelligence, memory modeling, text understanding, computational linguistics and natural language understanding. Other areas of application are schema-matching, hermeneutics, local connectionism, and text linguistics. With its extensive bibliography, the book is also valuable as supplemental reading for introductory undergraduate courses in cognitive science and computational linguistics.

Download or read book The Cambridge Handbook of Working Memory and Language written by John W. Schwieter and published by Cambridge University Press. This book was released on 2022-07-21 with total page 1211 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.