Recent Advances in NLP: The Case of Arabic Language, Mohamed Abd Elaziz; Mohammed A. A. Al-qaness; Ahme
Автор: Iryna Gurevych; Jungi Kim; Nicoletta Calzolari Название: The People`s Web Meets NLP ISBN: 3642350844 ISBN-13(EAN): 9783642350849 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the challenges to the research field brought about by the emergence of collaboratively constructed language resources (CCLR), such as Wikipedia and Wiktionary. It offers a comprehensive overview of the significant work in CCLRs and NLP.
Автор: Juan Luis Navarro Mesa; Alfonso Ortega; Ant?nio Te Название: Advances in Speech and Language Technologies for Iberian Languages ISBN: 3319136224 ISBN-13(EAN): 9783319136226 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the IberSPEECH 2014 Conference, held in Las Palmas de Gran Canaria, Spain, in November 19-21, 2014. The papers are organized in topical sections on speech production, analysis, coding and synthesis; speech of language technologies in different application fields.
Автор: Luis Mart?nez; Rosa M. Rodriguez; Francisco Herrer Название: The 2-tuple Linguistic Model ISBN: 3319796658 ISBN-13(EAN): 9783319796659 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Поставка под заказ.
Автор: Dimitris N. Christodoulakis Название: Natural Language Processing - NLP 2000 ISBN: 3540676058 ISBN-13(EAN): 9783540676058 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume constitutes the refereed proceedings of the Second International Conference on Natural Language Processing, NLP 2000. Topics covered include: tokenization and morphological analysis; lexical knowledge representation; parsing and discourse analysis; and anaphora resolution.
Описание: If you want to build an enterprise-quality application that uses natural language text but aren`t sure where to begin or what tools to use, this practical guide will help get you started.
Автор: Uday Kamath; John Liu; James Whitaker Название: Deep Learning for NLP and Speech Recognition ISBN: 3030145956 ISBN-13(EAN): 9783030145958 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience.
Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book.
The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are:
Machine Learning, NLP, and Speech IntroductionThe first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning BasicsThe five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech
The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.
Описание: Applied Natural Language Processing (ANLP) is interested in not only the creation of natural language processing approaches (i.e., tools, systems, algorithms, models, theories, and techniques), but it is also (and, arguably, more specifically) interested in how those approaches stack up against new problems, issues, identified knowledge gaps, or created data sets. Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches defines the role of ANLP within NLP, and alongside other disciplines such as linguistics, computer science, and cognitive science. The description also includes the categorization of current ANLP research, and examples of current research in ANLP. This book is a useful reference for teachers, students, and materials developers in fields spanning linguistics, computer science, and cognitive science.
Автор: Aarne Ranta; Bengt Nordstr?m Название: Advances in Natural Language Processing ISBN: 3540852867 ISBN-13(EAN): 9783540852865 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 6th International Conference on Natural Language Processing, GoTAL 2008, Gothenburg, Sweden, August 2008. This work covers papers that address various issues in computational linguistics and monolingual and multilingual intelligent language processing - theory, methods and applications.
Описание: An advanced resource for a rapidly evolving research field, aimed at students and academics of translation studies and related fields such as applied linguistics, corpus linguistics, translation technology and digital humanities.
Автор: Alberto Abad; Alfonso Ortega; Ant?nio Teixeira; C Название: Advances in Speech and Language Technologies for Iberian Languages ISBN: 3319491687 ISBN-13(EAN): 9783319491684 Издательство: Springer Рейтинг: Цена: 8106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the IberSPEECH 2016 Conference, held in Lisbon, Portugal, in November 2016. The 27 papers presented were carefully reviewed and selected from 48 submissions.
The selected articles in this volume are organized into four different topics:
Speech Production, Analysis, Coding and Synthesis;Automatic Speech Recognition;Paralinguistic Speaker Trait Characterization;Speech and Language Technologies in Different Application Fields
Описание: This book constitutes the thoroughly refereed proceedings of the Eleventh International Symposium on Natural Language Processing (SNLP-2016), held in Phranakhon Si Ayutthaya, Thailand on February 10-12, 2016.
Описание: Natural language understanding is central to the goals of artificial intelligence. Any truly intelligent machine must be capable of carrying on a conversation: dialogue, particularly clarification dialogue, is essential if we are to avoid disasters caused by the misunderstanding of the intelligent interactive systems of the future. This book is an interim report on the grand enterprise of devising a machine that can use natural language as fluently as a human. What has really been achieved since this goal was first formulated in Turing’s famous test? What obstacles still need to be overcome?
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