Making Way in Corpus-based Interpreting Studies, Mariachiara Russo; Claudio Bendazzoli; Bart Defran
Автор: Margaret S. Archer Название: Making our Way through the World ISBN: 0521874238 ISBN-13(EAN): 9780521874236 Издательство: Cambridge Academ Рейтинг: Цена: 12197.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book, Margaret Archer examines the reflexive `internal conversations` most people have with themselves, and their influence on how people make their way through the world. She argues that human reflexivity mediates between our personal concerns and the social contexts we confront - generating different forms which shape people`s lives.
Описание: This book provides a corpus of translational Chinese which, with a comparable native Chinese corpus, offers a basis for a comprehensive account of the macro-statistic, lexical and grammatical features of translational Chinese in English-to-Chinese translation.
Описание: This book provides a corpus of translational Chinese which, with a comparable native Chinese corpus, offers a basis for a comprehensive account of the macro-statistic, lexical and grammatical features of translational Chinese in English-to-Chinese translation.
Автор: Libo Huang Название: Style in Translation: A Corpus-Based Perspective ISBN: 366245565X ISBN-13(EAN): 9783662455654 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book attempts to explore style-a traditional topic-in literary translation with a corpus-based approach. Apart from the basics of corpus building, readers may notice that literary texts offer an ideal context for stylistic research and a parallel corpus of literary texts may provide various observations to the style in translation.
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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