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Levels in Clause Linkage: A Crosslinguistic Survey, Tasaku Tsunoda


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Автор: Tasaku Tsunoda
Название:  Levels in Clause Linkage: A Crosslinguistic Survey
ISBN: 9783110516777
Издательство: Walter de Gruyter
Классификация:
ISBN-10: 3110516772
Обложка/Формат: Hardcover
Страницы: 919
Вес: 1.63 кг.
Дата издания: 2017-09-30
Серия: Humanities
Язык: English
Читательская аудитория: General/trade
Основная тема: LANGUAGE ARTS & DISCIPLINES / Linguistics / General
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

This is a cross-linguistic exploration of the use of clause linkage markers in causal, conditional, and concessive sentences. Employing a five-level classification of clause linkage based on semantic and pragmatic grounds, it shows that, within individual languages different markers exhibit different distributions on the five levels. Also, the rich evidence presented from seventeen languages from many parts of the world documents that these distributions present commonalities as well as differences across the languages of the sample.



Theory and Practice of International Trade Linkage Models

Автор: A. Italianer
Название: Theory and Practice of International Trade Linkage Models
ISBN: 9401084912 ISBN-13(EAN): 9789401084918
Издательство: Springer
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Цена: 81050.00 T
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Описание: Chapter 2 deals vii tll the theory of import allocation models, Chapter J treats the problem of defining and interpreting elasticities of substitution, while Chapter 4 is concerned with the econometric problems related to the estimation of mul- tivariate models with linear restrictions, such as import allocation models.

Data Quality and Record Linkage Techniques

Автор: Thomas N. Herzog; Fritz J. Scheuren; William E. Wi
Название: Data Quality and Record Linkage Techniques
ISBN: 0387695028 ISBN-13(EAN): 9780387695020
Издательство: Springer
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Цена: 65210.00 T
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Описание: Helps practitioners understand at an applied level, of the issues involved in improving data quality through editing, imputation, and record linkage. This book deals with methods and models. It focuses on the Fellegi-Holt edit-imputation model, the Little-Rubin multiple-imputation scheme, and the Fellegi-Sunter record linkage model.

Linkage Disequilibrium and Association Mapping

Автор: Andrew R. Collins
Название: Linkage Disequilibrium and Association Mapping
ISBN: 1617377090 ISBN-13(EAN): 9781617377099
Издательство: Springer
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Цена: 121110.00 T
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Описание: As researchers continue to make enormous progress in mapping disease genes, exciting, novel, and complex analyses have emerged. In this book, scientists from around the world, who are leaders in this field, contribute their vast experience and expertise to produce a comprehensive and fascinating text for researchers and clinicians alike.

The Crosslinguistic Study of Language Acquisition

Название: The Crosslinguistic Study of Language Acquisition
ISBN: 1138989002 ISBN-13(EAN): 9781138989009
Издательство: Taylor&Francis
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Цена: 22450.00 T
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Описание:

Extending the tradition of this series, which has become a standard reference work in language acquisition, this volume contains chapters on seven more languages, including a section on ergative languages. Languages in this volume include:

* Georgian

* Greenlandic

* K'iche Mayan

*Warlpiri

* Mandarin

* Scandinavian

* Sesotho


Political Parties and Democratic Linkage

Автор: Dalton Russell J
Название: Political Parties and Democratic Linkage
ISBN: 0199674965 ISBN-13(EAN): 9780199674961
Издательство: Oxford Academ
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Цена: 41700.00 T
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Описание: Political Parties and Democratic Linkage examines how political parties ensure the functioning of the democratic process in contemporary societies. Based on unprecedented cross-national data, the authors find that the process of party government is still alive and well in most contemporary democracies.

Exploitation of Linkage Learning in Evolutionary Algorithms

Автор: Ying-ping Chen
Название: Exploitation of Linkage Learning in Evolutionary Algorithms
ISBN: 3642128335 ISBN-13(EAN): 9783642128332
Издательство: Springer
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Цена: 158380.00 T
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Описание: The exploitation of linkage learning is enhancing the performance of evolutionary algorithms. This monograph examines recent progress in linkage learning, with a series of focused technical chapters that cover developments and trends in the field.


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