Formalizing Natural Languages with NooJ 2018 and Its Natural Language Processing Applications, Ignazio Mauro Mirto; Mario Monteleone; Max Silberz

Автор: Linda Barone; Mario Monteleone; Max Silberztein
Название: Automatic Processing of Natural-Language Electronic Texts with NooJ
ISBN: 3319550012 ISBN-13(EAN): 9783319550015
Издательство: Springer
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Цена: 60550.00 T
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Описание: This book constitutes the refereed proceedings of the 10th International Conference, NooJ 2016, held Česk Budějovice, Czech Republic, in June 2016.

The 21 revised full papers presented in this volume were carefully reviewed and selected from 45 submissions. NooJ is a linguistic development environment that provides tools for linguists to construct linguistic resources that formalise a large gamut of linguistic phenomena: typography, orthography, lexicons for simple words, multiword units and discontinuous expressions, inflectional and derivational morphology, local, structural and transformational syntax, and semantics.

Автор: Sivaji Bandyopadhyay, Sudip Kumar Naskar, Asif Ekbal
Название: Emerging Applications of Natural Language Processing: Concepts and New Research
ISBN: 1466621699 ISBN-13(EAN): 9781466621695
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: Provides pertinent and vital information that researchers, postgraduate, doctoral students, and practitioners are seeking. This book compiles the latest discoveries and advances in NLP methodologies and applications while expanding upon various topics regarding the future of NLP.

Автор: M?rio Rodrigues; Ant?nio Teixeira
Название: Advanced Applications of Natural Language Processing for Performing Information Extraction
ISBN: 3319155628 ISBN-13(EAN): 9783319155623
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web.

Название: Natural Language Processing: Concepts, Methodologies, Tools, and Applications
ISBN: 179980951X ISBN-13(EAN): 9781799809517
Издательство: Mare Nostrum (Eurospan)
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Цена: 2263800.00 T
Наличие на складе: Нет в наличии.
Описание: As technology continues to become more sophisticated, a computer's ability to understand, interpret, and manipulate natural language is also accelerating. Persistent research in the field of natural language processing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror natural language processes that have existed for centuries.

Natural Language Processing: Concepts, Methodologies, Tools, and Applications is a vital reference source on the latest concepts, processes, and techniques for communication between computers and humans. Highlighting a range of topics such as machine learning, computational linguistics, and semantic analysis, this multi-volume book is ideally designed for computer engineers, computer and software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of natural language processing.

Автор: Fatima
Название: Principles of Automated Negotiation
ISBN: 1107002540 ISBN-13(EAN): 9781107002548
Издательство: Cambridge Academ
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Цена: 50680.00 T
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Описание: With an increasing number of applications in the context of multi-agent systems, automated negotiation is a rapidly growing area. Written by top researchers in the field, this state-of-the-art treatment of the subject explores key issues involved in the design of negotiating agents, covering strategic, heuristic, and axiomatic approaches. The authors discuss the potential benefits of automated negotiation as well as the unique challenges it poses for computer scientists and for researchers in artificial intelligence. They also consider possible applications and give readers a feel for the types of domains where automated negotiation is already being deployed. This book is ideal for graduate students and researchers in computer science who are interested in multi-agent systems. It will also appeal to negotiation researchers from disciplines such as management and business studies, psychology and economics.

Автор: Mbarki
Название: Formalizing Natural Languages with NooJ and Its Natural Language Processing Applications
ISBN: 3319734199 ISBN-13(EAN): 9783319734194
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed proceedings of the 11th International Conference, NooJ 2017, held in Kenitra and Rabat, Morocco, in May 2017. The 20 revised full papers presented in this volume were carefully reviewed and selected from 56 submissions.

Автор: H?la Fehri; Slim Mesfar; Max Silberztein
Название: Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications
ISBN: 3030388328 ISBN-13(EAN): 9783030388324
Издательство: Springer
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Цена: 46570.00 T
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Описание: NooJ provides linguists with tools to develop dictionaries, regular grammars, context-free grammars, context-sensitive grammars and unrestricted grammars as well as their graphical equivalent to formalize each linguistic phenomenon.

Автор: Jialu Liu, Jingbo Shang, Jiawei Han
Название: Phrase Mining from Massive Text and Its Applications
ISBN: 1627058982 ISBN-13(EAN): 9781627058988
Издательство: Mare Nostrum (Eurospan)
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Цена: 41580.00 T
Наличие на складе: Невозможна поставка.
Описание: Investigates one promising paradigm for representing unstructured text, that is, through automatically identifying high-quality phrases from innumerable documents. This volume proposes new principles and powerful methodologies, from the scenario where a user can provide meaningful guidance to a fully automated setting through distant learning.

Автор: Khaled Shaalan; Aboul Ella Hassanien; Fahmy Tolba
Название: Intelligent Natural Language Processing: Trends and Applications
ISBN: 3319670557 ISBN-13(EAN): 9783319670553
Издательство: Springer
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Цена: 232910.00 T
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Описание: Features Extraction and On-Line Recognition of Isolated Arabic Characters.- Using Text Mining Techniques for Extracting Information from Research Articles.- Authorship and Time Attribution of Arabic Texts Using JGAAP.- TALAA-ATSF: A Global Operation-Based Arabic Text Summarization Framework.- e="Calibri">An Evaluation of the Morphological Analysis of Egyptian Arabic TreeBank.- Alserag: An Automatic Diacritization System for Arabic.- font-size:11.0pt; line-height:107%;font-family: "Calibri","sans-serif";mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Calibri;mso-fareast-theme-font: minor-latin;mso-hansi-theme-font: minor-latin;mso-bidi-font-family: Arial;mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US;mso-fareast-language: EN-US;mso-bidi-language: AR-SA">Developing a Transfer-based System for Arabic Dialects Translation.- Education and Knowledge Based Augmented Reality (AR).- 7%;font-family: "Calibri","sans-serif";mso-ascii-theme-font: minor-latin; mso-fareast-font-familyText Mining and Analytics: A Case Study from Channels Posts on Facebook.- A New Semantic Distance Measure for the VSM-Based Information Retrieval Systems.-family: "Calibri","sans-serif";mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Calibri;mso-fareast-theme-font: minor-latin;mso-hansi-theme-font: minor-latin;mso-bidi-font-family: Arial;mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US;mso-fareast-language: EN-US;mso-bidi-language: AR-SA">

Автор: Rao Delip
Название: Natural Language Processing with Pytorch: Build Intelligent Language Applications Using Deep Learning
ISBN: 1491978236 ISBN-13(EAN): 9781491978238
Издательство: Wiley
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Цена: 76020.00 T
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Описание: If you`re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library.

Автор: Imed Zitouni
Название: Natural Language Processing of Semitic Languages
ISBN: 3662524937 ISBN-13(EAN): 9783662524930
Издательство: Springer
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Цена: 88500.00 T
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Описание: Research in Natural Language Processing (NLP) has rapidly advanced in recent years, resulting in exciting algorithms for sophisticated processing of text and speech in various languages.

Автор: Manning, Christopher D. Schutze, Hinrich
Название: Foundations of statistical natural language processing
ISBN: 0262133601 ISBN-13(EAN): 9780262133609
Издательство: MIT Press
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Цена: 129790.00 T
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Описание:

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.