Recent Advances in Parsing Technology, H. Bunt; Masaru Tomita
Автор: H. Bunt; John Carroll; Giorgio Satta Название: New Developments in Parsing Technology ISBN: 140202293X ISBN-13(EAN): 9781402022937 Издательство: Springer Рейтинг: Цена: 23757.00 р. 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: Harry Bunt; Paola Merlo; Joakim Nivre Название: Trends in Parsing Technology ISBN: 9400733798 ISBN-13(EAN): 9789400733794 Издательство: Springer Рейтинг: Цена: 20962.00 р. 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: Masaru Tomita Название: Current Issues in Parsing Technology ISBN: 0792391314 ISBN-13(EAN): 9780792391319 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: H. Bunt; Anton Nijholt Название: Advances in Probabilistic and Other Parsing Technologies ISBN: 9048155797 ISBN-13(EAN): 9789048155798 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Masaru Tomita Название: Generalized LR Parsing ISBN: 0792392019 ISBN-13(EAN): 9780792392019 Издательство: Springer Рейтинг: Цена: 18161.00 р. 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: Joakim Nivre Название: Inductive Dependency Parsing ISBN: 9048172187 ISBN-13(EAN): 9789048172184 Издательство: Springer Рейтинг: Цена: 20962.00 р. 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: Jill Fain Lehman Название: Adaptive Parsing ISBN: 0792391837 ISBN-13(EAN): 9780792391838 Издательство: Springer Рейтинг: Цена: 20956.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As the computer gradually automates human-oriented tasks in multiple environ- ments, the interface between computers and the ever-wider population of human users assumes progressively increasing importance. In the office environment, for instance, clerical tasks such as document filing and retrieval, and higher-level tasks such as scheduling meetings, planning trip itineraries, and producing documents for publication, are being partially or totally automated. The range of users for office- oriented software includes clerks, secretaries, and businesspersons, none of whom are predominantly computer literate. The same phenomenon is echoed in the factory production line, in the securities trading floor, in government agencies, in educa- tional institutions, and even in the home. The arcane command languages of yes- teryear have proven too high a barrier for smooth acceptance of computerized func- tions into the workplace, no matter how useful these functions may be. Computer- naive users simply do not take the time to learn intimidating and complex computer interfaces. In order to place the functionality of modem computers at the disposition of diverse user populations, a number of different approaches have been tried, many meeting with a significant measure of success, to wit: special courses to train users in the simpler command languages (such as MS-DOS), designing point-and-click menu/graphics interfaces that require much less user familiarization (illustrated most clearly in the Apple Macintosh), and interacting with the user in his or her language of choice.
Автор: Paola Merlo Название: Parsing with Principles and Classes of Information ISBN: 0792341031 ISBN-13(EAN): 9780792341031 Издательство: Springer Рейтинг: Цена: 19564.00 р. 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: Seppo Sippu; Eljas Soisalon-Soininen Название: Parsing Theory ISBN: 3642080790 ISBN-13(EAN): 9783642080791 Издательство: Springer Рейтинг: Цена: 12571.00 р. 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.
Описание: This book constitutes the thoroughly refereed proceedings of the Eleventh International Symposium on Natural Language Processing (SNLP-2016), held in Phranakhon Si Ayutthaya, Thailand on February 10-12, 2016.
Автор: M. Carl; Andy Way Название: Recent Advances in Example-Based Machine Translation ISBN: 1402014007 ISBN-13(EAN): 9781402014000 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Gives an overview of Example-Based Machine Translation (EBMT) techniques and provides a coherent structure in which aspects of EBMT are embedded. This book is useful for program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval.
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