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Analysing English-Arabic Machine Translation, Almahasees, Zakaryia


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Цена: 6123.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Almahasees, Zakaryia
Название:  Analysing English-Arabic Machine Translation
ISBN: 9781032042275
Издательство: Taylor&Francis
Классификация:










ISBN-10: 1032042273
Обложка/Формат: Paperback
Страницы: 202
Вес: 0.45 кг.
Дата издания: 31.05.2023
Серия: Routledge studies in translation technology
Иллюстрации: 17 tables, black and white; 28 line drawings, black and white; 28 illustrations, black and white
Размер: 234 x 156
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: Google translate, microsoft translator and sakhr
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Поставляется из: Европейский союз


Workgroups Eassessment: Planning, Implementing and Analysing Frameworks

Автор: Babo Rosalina, Dey Nilanjan, Ashour Amira S.
Название: Workgroups Eassessment: Planning, Implementing and Analysing Frameworks
ISBN: 9811599076 ISBN-13(EAN): 9789811599071
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book was developed during a particular pandemic situation in the whole world which confined people to their homes. This book provides a better understanding about the importance of teams` assessment and collaborative work, as well as the use of collaboration tools and online assessment techniques supported by technology.

Hybrid Approaches to Machine Translation

Автор: Costa-juss?
Название: Hybrid Approaches to Machine Translation
ISBN: 3319213105 ISBN-13(EAN): 9783319213101
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This volume provides an overview of thefield of Hybrid Machine Translation (MT) and presents some of the latestresearch conducted by linguists and practitioners from differentmultidisciplinary areas. Nowadays, most important developments in MT are achievedby combining data-driven and rule-based techniques. These combinationstypically involve hybridization of different traditional paradigms, such as theintroduction of linguistic knowledge into statistical approaches to MT, theincorporation of data-driven components into rule-based approaches, orstatistical and rule-based pre- and post-processing for both types of MTarchitectures.The book is of interest primarily to MTspecialists, but also – in the wider fields of Computational Linguistics,Machine Learning and Data Mining – to translators and managers of translationcompanies and departments who are interested in recent developments concerningautomated translation tools.

Recent Advances in Example-Based Machine Translation

Автор: M. Carl; Andy Way
Название: Recent Advances in Example-Based Machine Translation
ISBN: 1402014007 ISBN-13(EAN): 9781402014000
Издательство: Springer
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Цена: 22359.00 р.
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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.

Automated Planning and Acting

Автор: Ghallab
Название: Automated Planning and Acting
ISBN: 1107037271 ISBN-13(EAN): 9781107037274
Издательство: Cambridge Academ
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Цена: 10613.00 р.
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Описание: Autonomous AI systems need complex computational techniques for planning and performing actions. This textbook presents the most recent and advanced techniques within the field that allow systems such as the Mars rovers, intelligent harbor-management systems, or self-driving cards to act effectively in the real world.

Linguistic Issues in Machine Translation

Автор: Frank Van Eynde
Название: Linguistic Issues in Machine Translation
ISBN: 1474246540 ISBN-13(EAN): 9781474246545
Издательство: Bloomsbury Academic
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Цена: 22176.00 р.
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Описание: The key assumption in this text is that machine translation is not merely a mechanical process but in fact requires a high level of linguistic sophistication, as the nuances of syntax, semantics and intonation cannot always be conveyed by modern technology. The increasing dependence on artificial communication by private and corporate users makes this research area an invaluable element when teaching linguistic theory.

Machine Translation

Автор: F. Derek Wong; Deyi Xiong
Название: Machine Translation
ISBN: 9811071330 ISBN-13(EAN): 9789811071331
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This book constitutes the refereed proceedings of the 13th China Workshop on Machine Translation, CWMT 2017, held in Dalian, China, in September 2017.
The 10 papers presented in this volume were carefully reviewed and selected from 26 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.

Linguistically Motivated Statistical Machine Translation

Автор: Deyi Xiong; Min Zhang
Название: Linguistically Motivated Statistical Machine Translation
ISBN: 9812873554 ISBN-13(EAN): 9789812873552
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT).

Thinking translation from english

Автор: Cragie, Stella
Название: Thinking translation from english
ISBN: 1138714038 ISBN-13(EAN): 9781138714038
Издательство: Taylor&Francis
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Цена: 5970.00 р.
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Описание: Thinking English Translation is a practical guide to analysing and translating English source texts.

Systematically Analysing Indirect Translations

Автор: Hadley, James Luke
Название: Systematically Analysing Indirect Translations
ISBN: 0367244845 ISBN-13(EAN): 9780367244842
Издательство: Taylor&Francis
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Цена: 19906.00 р.
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Principles of Automated Negotiation

Автор: Fatima
Название: Principles of Automated Negotiation
ISBN: 1107002540 ISBN-13(EAN): 9781107002548
Издательство: Cambridge Academ
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Цена: 7602.00 р.
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Описание: With an increasing number of applications in the context of multi-agent systems, automated negotiation is a rapidly growing area. Written by top researchers in the field, this state-of-the-art treatment of the subject explores key issues involved in the design of negotiating agents, covering strategic, heuristic, and axiomatic approaches. The authors discuss the potential benefits of automated negotiation as well as the unique challenges it poses for computer scientists and for researchers in artificial intelligence. They also consider possible applications and give readers a feel for the types of domains where automated negotiation is already being deployed. This book is ideal for graduate students and researchers in computer science who are interested in multi-agent systems. It will also appeal to negotiation researchers from disciplines such as management and business studies, psychology and economics.

Envisioning Machine Translation in the Information Future

Автор: John S. White
Название: Envisioning Machine Translation in the Information Future
ISBN: 3540411178 ISBN-13(EAN): 9783540411178
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Nearly everyone was comparing lists of the most important accomplishments and people of the last 10, 100, or 1000 years, imagining the radical changes likely over just the next few years, and at least mildly anxious about the potential Y2K apocalypse.

Analysing English-Arabic Machine Translation: Google Translate, Microsoft Translator and Sakhr

Автор: Almahasees Zakaryia
Название: Analysing English-Arabic Machine Translation: Google Translate, Microsoft Translator and Sakhr
ISBN: 036775911X ISBN-13(EAN): 9780367759117
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание: Machine Translation (MT) has become widely used throughout the world as a medium of communication between those who live in different countries and speak different languages. However, translation between distant languages constitutes a challenge for machines.


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