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Numeral Classifiers and Classifier Languages, 


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Цена: 22202.00р.
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Название:  Numeral Classifiers and Classifier Languages
Перевод названия: Числовые классификаторы и языки классификаторов
ISBN: 9781138054974
Издательство: Taylor&Francis
Классификация:





ISBN-10: 1138054976
Обложка/Формат: Hardback
Страницы: 224
Вес: 0.45 кг.
Дата издания: 31.12.2020
Серия: Routledge Studies in East Asian Linguistics
Язык: English
Иллюстрации: 10 tables, black and white; 14 line drawings, black and white; 2 halftones, black and white; 16 illustrations, black and white
Размер: 160 x 243 x 23
Основная тема: Syntax
Подзаголовок: Chinese, japanese, and korean
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Focussing mainly on classifiers, Numeral Classifier and Classifier Languages offers a deep investigation of the three major classifier languages: Chinese, Japanese, and Korean. It provides detailed discussions well supported by empirical evidence and corpus analyses.


Автор: Alex Pappachen James
Название: Deep learning classifiers with memristive networks.
ISBN: 3030145220 ISBN-13(EAN): 9783030145224
Издательство: Springer
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Цена: 23757.00 р.
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Описание: At first, the book offers an overview of neuro-memristive systems, including memristor devices, models, and theory, as well as an introduction to deep learning neural networks such as multi-layer networks, convolution neural networks, hierarchical temporal memory, and long short term memories, and deep neuro-fuzzy networks.

Statistical and Neural Classifiers

Автор: Sarunas Raudys
Название: Statistical and Neural Classifiers
ISBN: 1447110714 ISBN-13(EAN): 9781447110712
Издательство: Springer
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Цена: 19564.00 р.
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Описание: In this book, Sarunas Raudys - an internationally respected researcher in the area - provides an excellent mathematical and applied introduction to how neural network classifiers work and how they should be used..

The Evaluation of Competing Classifiers

Автор: Alsing Stephen G.
Название: The Evaluation of Competing Classifiers
ISBN: 1288324324 ISBN-13(EAN): 9781288324323
Издательство: Неизвестно
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Цена: 10658.00 р.
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Plurality and Classifiers Across Languages in China

Автор: Dan Xu
Название: Plurality and Classifiers Across Languages in China
ISBN: 311029382X ISBN-13(EAN): 9783110293821
Издательство: Walter de Gruyter
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Цена: 24165.00 р.
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Описание:

TRENDS IN LINGUISTICS is a series of books that open new perspectives in our understanding of language. The series publishes state-of-the-art work on core areas of linguistics across theoretical frameworks as well as studies that provide new insights by building bridges to neighbouring fields such as neuroscience and cognitive science.

TRENDS IN LINGUISTICS considers itself a forum for cutting-edge research based on solid empirical data on language in its various manifestations, including sign languages. It regards linguistic variation in its synchronic and diachronic dimensions as well as in its social contexts as important sources of insight for a better understanding of the design of linguistic systems and the ecology and evolution of language.

TRENDS IN LINGUISTICS publishes monographs and outstanding dissertations as well as edited volumes, which provide the opportunity to address controversial topics from different empirical and theoretical viewpoints. High quality standards are ensured through anonymous reviewing.

Genders and Classifiers

Автор: Aikhenvald Alexandra Y
Название: Genders and Classifiers
ISBN: 0198842015 ISBN-13(EAN): 9780198842019
Издательство: Oxford Academ
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Цена: 10296.00 р.
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Описание: This volume offers a comprehensive account of the typology of noun classification across the world`s languages. Following a detailed introduction to noun categorization, the chapters in the volume provide in-depth studies of genders and classifiers of different types in a range of South American and Asian languages and language families.

English quasi-numeral classifiers

Автор: Zhang, Xu
Название: English quasi-numeral classifiers
ISBN: 3034328184 ISBN-13(EAN): 9783034328180
Издательство: Peter Lang
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Цена: 16701.00 р.
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Описание:

This book is an interdisciplinary study of English binominal quantitative constructions based on English-Chinese comparison. Taking three perspectives, i.e. a functional-typological perspective, a cognitive approach, and a corpus-based method, it aims to unveil the hidden categorisation process behind the usage of English binominal quantitative constructions and to reveal the language universal in cognising the concepts of ‘Quantity’ and ‘Quality’. It argues against treating Chinese and English as members of two opposing typological camps concerning quantification modes (‘classifier languages’ versus ‘non-classifier languages’) and advocates to view the two languages as lying within a more extended and inclusive system, viz. a system of quantification and categorisation modes, or a Quantity-Quality continuum.

Numeral Classifiers in Chinese: The Syntax-Semantics Interface

Автор: XuPing Li
Название: Numeral Classifiers in Chinese: The Syntax-Semantics Interface
ISBN: 3110287633 ISBN-13(EAN): 9783110287639
Издательство: Walter de Gruyter
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Цена: 24165.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: TRENDS IN LINGUISTICS is a series of books that open new perspectives in our understanding of language. The series publishes state-of-the-art work on core areas of linguistics across theoretical frameworks, as well as studies that provide new insights by approaching language from an interdisciplinary perspective. TRENDS IN LINGUISTICS considers itself a forum for cutting-edge research based on solid empirical data on language in its various manifestations, including sign languages. It regards linguistic variation in its synchronic and diachronic dimensions as well as in its social contexts as important sources of insight for a better understanding of the design of linguistic systems and the ecology and evolution of language. TRENDS IN LINGUISTICS publishes monographs and outstanding dissertations as well as edited volumes, which provide the opportunity to address controversial topics from different empirical and theoretical viewpoints. High quality standards are ensured through anonymous reviewing.

Plurality and Classifiers across Languages in China

Автор: Dan Xu
Название: Plurality and Classifiers across Languages in China
ISBN: 3110485346 ISBN-13(EAN): 9783110485349
Издательство: Walter de Gruyter
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Цена: 3710.00 р.
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Описание: Plural marking, numeral classifiers and reduplication constitute the main means of quantification marking in the domain of grammar. The contributions in this book focus on the typological correlation between the three different strategies for quantification, as well as on some general issues. A better understanding of the quantification strategies in the languages of China will enrich our comprehension of human language and thought. The book is expected to have an impact on the study of linguistic typology, language contact, and patterns of the evolution.

Hybrid Classifiers

Автор: Michal Wozniak
Название: Hybrid Classifiers
ISBN: 3662523043 ISBN-13(EAN): 9783662523049
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book details how hybridization can help improve the quality of computer classification systems. It introduces the different levels of hybridization and illuminates common problems faced when dealing with such projects.

Pattern Classifiers and Trainable Machines

Автор: J. Sklansky; G.N. Wassel
Название: Pattern Classifiers and Trainable Machines
ISBN: 1461258405 ISBN-13(EAN): 9781461258407
Издательство: Springer
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Цена: 11173.00 р.
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Описание: This book is the outgrowth of both a research program and a graduate course at the University of California, Irvine (UCI) since 1966, as well as a graduate course at the California State Polytechnic University, Pomona (Cal Poly Pomona). The research program, part of the UCI Pattern Recogni- tion Project, was concerned with the design of trainable classifiers; the graduate courses were broader in scope, including subjects such as feature selection, cluster analysis, choice of data set, and estimates of probability densities. In the interest of minimizing overlap with other books on pattern recogni- tion or classifier theory, we have selected a few topics of special interest for this book, and treated them in some depth. Some of this material has not been previously published. The book is intended for use as a guide to the designer of pattern classifiers, or as a text in a graduate course in an engi- neering or computer science curriculum. Although this book is directed primarily to engineers and computer scientists, it may also be of interest to psychologists, biologists, medical scientists, and social scientists.


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