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Automated Grammatical Error Detection for Language Learners, Claudia Leacock, Martin Chodorow, Michael Gamon, Joel Tetreault


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Цена: 46200.00T
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Автор: Claudia Leacock, Martin Chodorow, Michael Gamon, Joel Tetreault
Название:  Automated Grammatical Error Detection for Language Learners
ISBN: 9781627050135
Издательство: Mare Nostrum (Eurospan)
Классификация:
ISBN-10: 1627050132
Обложка/Формат: Paperback
Страницы: 170
Вес: 0.31 кг.
Дата издания: 28.02.2014
Серия: Synthesis lectures on human language technologies
Язык: English
Издание: 2 revised edition
Иллюстрации: Black & white illustrations
Размер: 192 x 235 x 9
Читательская аудитория: General (us: trade)
Ключевые слова: Natural language & machine translation
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Поставляется из: Англии
Описание: Describes the types of constructions English language learners find most difficult: constructions containing prepositions, articles, and collocations. It provides an overview of the automated approaches that have been developed to identify and correct these and other classes of learner errors in a number of languages.

Grammatical Inference for Computational Linguistics

Автор: Jeffrey Heinz, Colin de la Higuera, Menno van Zaanen
Название: Grammatical Inference for Computational Linguistics
ISBN: 1608459772 ISBN-13(EAN): 9781608459773
Издательство: Mare Nostrum (Eurospan)
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Цена: 46200.00 T
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Описание: Provides a thorough introduction to the subfield of theoretical computer science known as grammatical inference from a computational linguistic perspective. Grammatical inference provides principled methods for developing computationally sound algorithms that learn structure from strings of symbols.

Grammatical Inference: Algorithms and Applications

Автор: Pieter Adriaans; Henning Fernau; Menno van Zaanen
Название: Grammatical Inference: Algorithms and Applications
ISBN: 3540442391 ISBN-13(EAN): 9783540442394
Издательство: Springer
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Цена: 65210.00 T
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Описание: The Sixth International Colloquium on Grammatical Inference (ICGI2002) was held in Amsterdam on September 23-25th, 2002. Researchers in grammatical inference come from ?elds as diverse as machine learning, theoretical computer science, computational linguistics, pattern recognition, and arti?cial neural n- works.

Grammatical Inference and Applications

Автор: Rafael C. Carrasco; Jose Oncina
Название: Grammatical Inference and Applications
ISBN: 3540584730 ISBN-13(EAN): 9783540584735
Издательство: Springer
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Цена: 65210.00 T
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Описание: This volume is devoted to those aspects of automatic learning which focus on the principles, theory and application of grammar and language. The contributors cover language modelling, stochastic approaches, neural networks, genetic algorithms and performance analysis.

Grammatical Inference: Learning Syntax from Sentences

Автор: Laurent Miclet; Colin de la Higuera
Название: Grammatical Inference: Learning Syntax from Sentences
ISBN: 3540617787 ISBN-13(EAN): 9783540617785
Издательство: Springer
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Цена: 65210.00 T
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Описание: Constitutes the refereed proceedings of the Third International Colloquium on Grammatical Inference. The 25 papers are organized in sections on algebraic methods and algorithms, natural language and pattern recognition, inductive logic programming and operational issues.

Grammatical Inference

Автор: Wojciech Wieczorek
Название: Grammatical Inference
ISBN: 3319468006 ISBN-13(EAN): 9783319468006
Издательство: Springer
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Цена: 111790.00 T
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Описание:

This book focuses on grammatical inference, presenting classic and modern methods of grammatical inference from the perspective of practitioners. To do so, it employs the Python programming language to present all of the methods discussed.
Grammatical inference is a field that lies at the intersection of multiple disciplines, with contributions from computational linguistics, pattern recognition, machine learning, computational biology, formal learning theory and many others.
Though the book is largely practical, it also includes elements of learning theory, combinatorics on words, the theory of automata and formal languages, plus references to real-world problems. The listings presented here can be directly copied and pasted into other programs, thus making the book a valuable source of ready recipes for students, academic researchers, and programmers alike, as well as an inspiration for their further development.>
Grammatical Inference

Автор: Vasant Honavar; Giora Slutzki
Название: Grammatical Inference
ISBN: 3540647767 ISBN-13(EAN): 9783540647768
Издательство: Springer
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Цена: 65210.00 T
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Описание: A collection of 23 papers from a colloquium on grammatical inference. They address: automata induction; grammar induction; automatic language acquisition; and applications in areas such as syntactic pattern recognition, adaptive intelligent agents, diagnosis, computational biology and data mining.

Automated Planning and Acting

Автор: Ghallab
Название: Automated Planning and Acting
ISBN: 1107037271 ISBN-13(EAN): 9781107037274
Издательство: Cambridge Academ
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Цена: 70750.00 T
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Описание: Autonomous AI systems need complex computational techniques for planning and performing actions. This textbook presents the most recent and advanced techniques within the field that allow systems such as the Mars rovers, intelligent harbor-management systems, or self-driving cards to act effectively in the real world.

Aspects of Automated Natural Language Generation

Автор: Robert Dale; Eduard Hovy; Dietmar R?sner; Oliviero
Название: Aspects of Automated Natural Language Generation
ISBN: 3540553991 ISBN-13(EAN): 9783540553991
Издательство: Springer
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Цена: 65210.00 T
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Описание: This volume presents the proceedings of the 6th International Workshop on Automated Natural Language Generation. It contains 18 research contributions from Japan, North America and Europe on several aspects of automated natural language generation as well as 11 panel statements.

Principles of Automated Negotiation

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.


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