Автор: H. Bunt; John Carroll; Giorgio Satta Название: New Developments in Parsing Technology ISBN: 140202293X ISBN-13(EAN): 9781402022937 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Parsing is a central area of research in the automatic processing of human language. Parsers are used in many application areas, for example question answering, extraction of information from text, speech recognition and understanding, and machine translation. This book contains contributions in the area of natural language parsing technology.
Автор: Seppo Sippu; Eljas Soisalon-Soininen Название: Parsing Theory ISBN: 3642080790 ISBN-13(EAN): 9783642080791 Издательство: Springer Рейтинг: Цена: 83810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This work is Volume II of a two-volume monograph on the theory of deterministic parsing of context-free grammars. Volume I, "Languages and Parsing" (Chapters 1 to 5), was an introduction to the basic concepts of formal language theory and context-free parsing. Volume II (Chapters 6 to 10) contains a thorough treat- ment of the theory of the two most important deterministic parsing methods: LR(k) and LL(k) parsing. Volume II is a continuation of Volume I; together these two volumes form an integrated work, with chapters, theorems, lemmas, etc. numbered consecutively. Volume II begins with Chapter 6 in which the classical con- structions pertaining to LR(k) parsing are presented. These include the canonical LR(k) parser, and its reduced variants such as the LALR(k) parser and the SLR(k) parser. The grammarclasses for which these parsers are deterministic are called LR(k) grammars, LALR(k) grammars and SLR(k) grammars; properties of these grammars are also investigated in Chapter 6. A great deal of attention is paid to the rigorous development of the theory: detailed mathematical proofs are provided for most of the results presented.
Автор: H. Bunt; Anton Nijholt Название: Advances in Probabilistic and Other Parsing Technologies ISBN: 9048155797 ISBN-13(EAN): 9789048155798 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: H. Bunt; Masaru Tomita Название: Recent Advances in Parsing Technology ISBN: 1402003714 ISBN-13(EAN): 9781402003714 Издательство: Springer Рейтинг: Цена: 125730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In Marcus (1980), deterministic parsers were introduced. We make no ar- guments about the linguistic issues D-theory parsers are meant to address, their relation to other parsing formalisms or the notion of determinism in general.
Автор: Masaru Tomita Название: Efficient Parsing for Natural Language ISBN: 0898382025 ISBN-13(EAN): 9780898382020 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Parsing Efficiency is crucial when building practical natural language systems. This book introduces a context-free parsing algorithm that parses natural language more efficiently than any other existing parsing algorithms in practice.
Автор: Masaru Tomita Название: Generalized LR Parsing ISBN: 0792392019 ISBN-13(EAN): 9780792392019 Издательство: Springer Рейтинг: Цена: 121070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The LR parsing algorithm first precompiles a grammar into an LR parsing table, and at the actual parsing time, it performs shift-reduce parsing guided deterministically by the parsing table.
Автор: Masaru Tomita Название: Current Issues in Parsing Technology ISBN: 0792391314 ISBN-13(EAN): 9780792391319 Издательство: Springer Рейтинг: Цена: 204040.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Paola Merlo Название: Parsing with Principles and Classes of Information ISBN: 0792341031 ISBN-13(EAN): 9780792341031 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text, based on principle-based linguistic theories for English, argues that differences in the kind of information being computed, whether lexical, structural or syntactic, play a crucial role in the mapping from grammatical theory to parsing algorithms.
Автор: Joakim Nivre Название: Inductive Dependency Parsing ISBN: 9048172187 ISBN-13(EAN): 9789048172184 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text.
Автор: Harry Bunt; Paola Merlo; Joakim Nivre Название: Trends in Parsing Technology ISBN: 9400733798 ISBN-13(EAN): 9789400733794 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Rieser, Verena Название: Reinforcement Learning for Adaptive Dialogue Systems ISBN: 3642249418 ISBN-13(EAN): 9783642249419 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The past decade has seen a revolution in the field of spoken dialogue systems. As in other areas of Computer Science and Artificial Intelligence, data-driven methods are now being used to drive new methodologies for system development and evaluation. This book is a unique contribution to that ongoing change. A new methodology for developing spoken dialogue systems is described in detail. The journey starts and ends with human behaviour in interaction, and explores methods for learning from the data, for building simulation environments for training and testing systems, and for evaluating the results. The detailed material covers: Spoken and Multimodal dialogue systems, Wizard-of-Oz data collection, User Simulation methods, Reinforcement Learning, and Evaluation methodologies. The book is a research guide for students and researchers with a background in Computer Science, AI, or Machine Learning. It navigates through a detailed case study in data-driven methods for development and evaluation of spoken dialogue systems. Common challenges associated with this approach are discussed and example solutions are provided. This work provides insights, lessons, and inspiration for future research and development – not only for spoken dialogue systems in particular, but for data-driven approaches to human-machine interaction in general.
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