Parsing the Turing Test, Robert Epstein; Gary Roberts; Grace Beber

Автор: Paola Merlo
Название: Parsing with Principles and Classes of Information
ISBN: 9401072655 ISBN-13(EAN): 9789401072656
Издательство: Springer
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Описание: Students of linguistics, parsing and psycholinguistics will find this book a useful resource on issues related to the implementation of current linguistic theories, using computational and cognitive plausible algorithms.

Автор: H. Bunt; Anton Nijholt
Название: Advances in Probabilistic and Other Parsing Technologies
ISBN: 9048155797 ISBN-13(EAN): 9789048155798
Издательство: Springer
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Автор: H. Bunt; Anton Nijholt
Название: Advances in Probabilistic and Other Parsing Technologies
ISBN: 0792366166 ISBN-13(EAN): 9780792366164
Издательство: Springer
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Описание: Parsing technology is concerned with finding syntactic structure in language. This work gives an overview of research and development in parsing technologies. It details how probabilistic methods are used in computational linguistics so they can be applied in parsing theory and practice.

Автор: Wenliang Chen; Min Zhang
Название: Semi-Supervised Dependency Parsing
ISBN: 9811012342 ISBN-13(EAN): 9789811012341
Издательство: Springer
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Описание: This book presents a comprehensive overview of semi-supervised approaches to dependency parsing.

Автор: Wenliang Chen; Min Zhang
Название: Semi-Supervised Dependency Parsing
ISBN: 9812875514 ISBN-13(EAN): 9789812875518
Издательство: Springer
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Описание: This book presents a comprehensive overview of semi-supervised approaches to dependency parsing.

Автор: K. Church
Название: Phonological Parsing in Speech Recognition
ISBN: 146129200X ISBN-13(EAN): 9781461292005
Издательство: Springer
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Цена: 15672.00 р.
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Описание: is typically realized with a heavily aspirated strong burst at the beginning of a syllable as in the word Tom, but without a burst at the end of a syllable in a word like cat. schwa vowels could be the first vowel in a word like `about` or the surface realization of almost any English vowel appearing in a sufficiently destressed word.

Автор: Gomez-Rodriguez Carlos
Название: Parsing Schemata For Practical Text Analysis
ISBN: 1848165609 ISBN-13(EAN): 9781848165601
Издательство: World Scientific Publishing
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Описание: Presents various research results about parsing schemata, introducing formal frameworks and theoretical results and focusing on applicability to practical parsing problems. This title offers a general introduction to the parsing schemata formalism that contains the basic notions needed to understand the rest of the parts.

Автор: Harry Bunt; Paola Merlo; Joakim Nivre
Название: Trends in Parsing Technology
ISBN: 9400733798 ISBN-13(EAN): 9789400733794
Издательство: Springer
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Описание: This collection of contributions from leading researchers in the field of natural language processing technology details their recent work which includes new techniques as well as results. It focuses on dependency parsing, domain adaptation, and deep parsing.

Автор: Joakim Nivre
Название: Inductive Dependency Parsing
ISBN: 9048172187 ISBN-13(EAN): 9789048172184
Издательство: Springer
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Описание: This book describes the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text.

Автор: Masaru Tomita
Название: Efficient Parsing for Natural Language
ISBN: 1441951989 ISBN-13(EAN): 9781441951984
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Parsing Efficiency is crucial when building practical natural language systems. 'Ibis is especially the case for interactive systems such as natural language database access, interfaces to expert systems and interactive machine translation. Despite its importance, parsing efficiency has received little attention in the area of natural language processing. In the areas of compiler design and theoretical computer science, on the other hand, parsing algorithms 3 have been evaluated primarily in terms of the theoretical worst case analysis (e.g. lXn, and very few practical comparisons have been made. This book introduces a context-free parsing algorithm that parses natural language more efficiently than any other existing parsing algorithms in practice. Its feasibility for use in practical systems is being proven in its application to Japanese language interface at Carnegie Group Inc., and to the continuous speech recognition project at Carnegie-Mellon University. This work was done while I was pursuing a Ph.D degree at Carnegie-Mellon University. My advisers, Herb Simon and Jaime Carbonell, deserve many thanks for their unfailing support, advice and encouragement during my graduate studies. I would like to thank Phil Hayes and Ralph Grishman for their helpful comments and criticism that in many ways improved the quality of this book. I wish also to thank Steven Brooks for insightful comments on theoretical aspects of the book (chapter 4, appendices A, B and C), and Rich Thomason for improving the linguistic part of tile book (the very beginning of section 1.1).