Grammatical Inference for Computational Linguistics, Jeffrey Heinz, Colin de la Higuera, Menno van Zaanen

Автор: Alain Lecomte; Francois Lamarche; Guy Perrier
Название: Logical Aspects of Computational Linguistics
ISBN: 3540657517 ISBN-13(EAN): 9783540657514
Издательство: Springer
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Описание: This text presents the refereed proceedings of the Second International Conference on Logical Aspects of Computational Linguistics. Among the topics covered are type theory, various types of grammars, linear logic, parsing, type directed natural language processing and proof theoretic aspects.

Автор: Hausser, Roland R.
Название: Computational Linguistics and Talking Robots
ISBN: 3642224318 ISBN-13(EAN): 9783642224317
Издательство: Springer
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Описание: The practical task of building a talking robot requires a theory of how natural language communication works. Conversely, the best way to computationally verify a theory of natural language communication is to demonstrate its functioning concretely in the form of a talking robot, the epitome of human–machine communication. To build an actual robot requires hardware that provides appropriate recognition and action interfaces, and because such hardware is hard to develop the approach in this book is theoretical: the author presents an artificial cognitive agent with language as a software system called database semantics (DBS). Because a theoretical approach does not have to deal with the technical difficulties of hardware engineering there is no reason to simplify the system – instead the software components of DBS aim at completeness of function and of data coverage in word form recognition, syntactic–semantic interpretation and inferencing, leaving the procedural implementation of elementary concepts for later. In this book the author first examines the universals of natural language and explains the Database Semantics approach. Then in Part I he examines the following natural language communication issues: using external surfaces; the cycle of natural language communication; memory structure; autonomous control; and learning. In Part II he analyzes the coding of content according to the aspects: semantic relations of structure; simultaneous amalgamation of content; graph-theoretical considerations; computing perspective in dialogue; and computing perspective in text. The book ends with a concluding chapter, a bibliography and an index. The book will be of value to researchers, graduate students and engineers in the areas of artificial intelligence and robotics, in particular those who deal with natural language processing.

Автор: Wojciech Wieczorek
Название: Grammatical Inference
ISBN: 3319468006 ISBN-13(EAN): 9783319468006
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Автор: Rafael C. Carrasco; Jose Oncina
Название: Grammatical Inference and Applications
ISBN: 3540584730 ISBN-13(EAN): 9783540584735
Издательство: Springer
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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.

Автор: Laurent Miclet; Colin de la Higuera
Название: Grammatical Inference: Learning Syntax from Sentences
ISBN: 3540617787 ISBN-13(EAN): 9783540617785
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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.

Автор: Philippe de Groote; Glyn Morrill; Christian Retore
Название: Logical Aspects of Computational Linguistics
ISBN: 3540422730 ISBN-13(EAN): 9783540422730
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Описание: This book constitutes the refereed proceedings of the 4th International Conference on Logical Aspects of Computational Linguistics, LACL 2001, held in Le Croisic, France, in June 2001.
The 16 revised full papers presented together with two invited papers were carefully reviewed and selected for presentation. Among the topics covered are categorical grammars, dependency grammars, formal language theory, grammatical inference, hyperintensional semantics, minimalism, type-logical semantics, language learning, and natural language processing.

Автор: Gelbukh
Название: Computational Linguistics and Intelligent Text Processing
ISBN: 3319754866 ISBN-13(EAN): 9783319754864
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Описание: The two-volume set LNCS 9623 + 9624 constitutes revised selected papers from the CICLing 2016 conference which took place in Konya, Turkey, in April 2016.

Автор: Vasant Honavar; Giora Slutzki
Название: Grammatical Inference
ISBN: 3540647767 ISBN-13(EAN): 9783540647768
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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.

Автор: Krzysztof Wolk
Название: Machine Learning in Translation Corpora Processing
ISBN: 036718673X ISBN-13(EAN): 9780367186739
Издательство: Taylor&Francis
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Описание: This book investigates how to improve statistical machine speech translation between Polish and English. The main objective of the book is to develop an automatic and robust Polish-to-English translation system to meet specific translation requirements and to develop bilingual textual resources by mining comparable corpora.

Автор: Nachum Dershowitz; Ephraim Nissan
Название: Language, Culture, Computation: Computational Linguistics and Linguistics
ISBN: 3642453260 ISBN-13(EAN): 9783642453267
Издательство: Springer
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Описание: From formal languages, Yaacov moved to natural languages. This third part of the three-volume set covers a range of topics related to language, ranging from linguistics to applications of computation to language, using linguistic tools.

Автор: Pieter Adriaans; Henning Fernau; Menno van Zaanen
Название: Grammatical Inference: Algorithms and Applications
ISBN: 3540442391 ISBN-13(EAN): 9783540442394
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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.

Автор: Claudia Leacock, Martin Chodorow, Michael Gamon, Joel Tetreault
Название: Automated Grammatical Error Detection for Language Learners
ISBN: 1627050132 ISBN-13(EAN): 9781627050135
Издательство: Mare Nostrum (Eurospan)
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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.