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Statistical machine translation, Koehn, Philipp



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Цена: 6556р.
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Склад Англия: 141 шт.  Склад Америка: 54 шт.  
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Автор: Koehn, Philipp
Название:  Statistical machine translation   (Филипп Коэн: Машинный перевод на основе статистик)
Издательство: Cambridge Academ
Классификация:
ISBN: 0521874157
ISBN-13(EAN): 9780521874151
Обложка/Формат: Hardback
Страницы: 488
Вес: 0.954 кг.
Дата издания: 31.10.2009
Язык: English
Иллюстрации: 24 b/w illus. 70 exercises
Размер: 254 x 180 x 26
Читательская аудитория: Tertiary education (us: college)
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subjects building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.



Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 8881 р.
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Описание: The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic techniques. The practical applicability of Bayesian methods has been greatly enhanced by the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation, while new models based on kernels have had a significant impact on both algorithms and applications.A forthcoming companion volume will deal with practical aspects of pattern recognition and machine learning, and will include free software implementations of the key algorithms along with example data sets and demonstration programs.Christopher Bishop is Assistant Director at Microsoft Research Cambridge, and also holds a Chair in Computer Science at the University of Edinburgh. He is a Fellow of Darwin College Cambridge, and was recently elected Fellow of the Royal Academy of Engineering. The author's previous textbook "Neural Networks for Pattern Recognition" has been widely adopted.Coming soon:*For students, worked solutions to a subset of exercises available on a public web site (for exercises marked "www" in the text)*For instructors, worked solutions to remaining exercises from the Springer web site*Lecture slides to accompany each chapter*Data sets available for download

Machine Learning

Автор: Kevin Murphy
Название: Machine Learning
ISBN: 0262018020 ISBN-13(EAN): 9780262018029
Издательство: MIT Press
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Цена: 9641 р.
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Описание:

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.

The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package -- PMTK (probabilistic modeling toolkit) -- that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

Introducing Translation Studies

Автор: Munday Jeremy
Название: Introducing Translation Studies
ISBN: 1138912557 ISBN-13(EAN): 9781138912557
Издательство: Taylor&Francis
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Цена: 1502 р.
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Описание:

Introducing Translation Studies remains the definitive guide to the theories and concepts that make up the field of translation studies. Providing an accessible and up-to-date overview, it has long been the essential textbook on courses worldwide.

This fourth edition has been fully revised and continues to provide a balanced and detailed guide to the theoretical landscape. Each theory is applied to a wide range of languages, including Bengali, Chinese, English, French, German, Italian, Punjabi, Portuguese and Spanish. A broad spectrum of texts is analysed, including the Bible, Buddhist sutras, Beowulf, the fiction of Garcia Marquez and Proust, European Union and UNESCO documents, a range of contemporary films, a travel brochure, a children's cookery book and the translations of Harry Potter.

Each chapter comprises an introduction outlining the translation theory or theories, illustrative texts with translations, case studies, a chapter summary and discussion points and exercises.

NEW FEATURES IN THIS FOURTH EDITION INCLUDE:

  • new material to keep up with developments in research and practice, including the sociology of translation, multilingual cities, translation in the digital age and specialized, audiovisual and machine translation
  • revised discussion points and updated figures and tables
  • new, in-chapter activities with links to online materials and articles to encourage independent research
  • an extensive updated companion website with video introductions and journal articles to accompany each chapter, online exercises, an interactive timeline, weblinks, and powerpoint slides for teacher support

This is a practical, user-friendly textbook ideal for students and researchers on courses in Translation and Translation Studies.

Evaluation in Translation

Автор: Munday Jeremy
Название: Evaluation in Translation
ISBN: 0415577705 ISBN-13(EAN): 9780415577700
Издательство: Taylor&Francis
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Цена: 5427 р.
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Описание: In this book, Jeremy Munday presents advances towards a general theory of evaluation in translator decision-making that will be of high importance to translator and interpreter training and to descriptive translation analysis. By ‘evaluation’ the author refers to how a translator’s subjective stance manifests itself linguistically in a text. In a world where translation and interpreting function as a prism through which opposing personal and political views enter a target culture, it is crucial to investigate how such views are processed and sometimes subjectively altered by the translator. To this end, the book focuses on the translation process (rather than the product) and strives to identify more precisely those points where the translator is most likely to express judgment or evaluation. The translations studied cover a range of languages (Arabic, Chinese, Dutch, French, German, Indonesian, Italian, Japanese, Russian, Spanish and American Sign Language) accompanied by English glosses to facilitate comprehension by readers. This is key reading for researchers and postgraduates studying translation theory within Translation and Interpreting Studies.

The Translation Studies Reader

Автор: Ed. by L. Venuti
Название: The Translation Studies Reader
ISBN: 0415187478 ISBN-13(EAN): 9780415187473
Издательство: Taylor&Francis
Цена: 2424 р.
Наличие на складе: Поставка под заказ.

Описание: This text guides the reader through the varying approaches to translation studies in the latter half of the 20th century. Chronologically ordered and divided into clear sections, Lawrence Venuti has gathered key essays, articles and book extracts together in one volume, thus providing a clear history of translation studies. The text also covers contemporary translation research and analysis, and, as it approaches the end of the 20th century, offers glimpses of possible future trends. Venuti introduces each section with comments on the readings and influential theorists, sketches the main theoretical trends in the period and offers critical assessment. Tbook should be useful as a course textbook and a stimulus for further research.

Conference Interpreting Explained (Translation Practices Explained)

Автор: Jones
Название: Conference Interpreting Explained (Translation Practices Explained)
ISBN: 1900650576 ISBN-13(EAN): 9781900650571
Издательство: Taylor&Francis
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Цена: 3117 р.
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Описание: A practical guide to conference interpreting by an experienced interpreter working for the European Commission. It contains detailed discussion of the pitfalls and strategies of the work, as well as relevant contacts.

Machine Learning

Автор: Marsland
Название: Machine Learning
ISBN: 1466583282 ISBN-13(EAN): 9781466583283
Издательство: Taylor&Francis
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Цена: 7968 р.
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Описание: A Proven, Hands-On Approach for Students without a Strong Statistical Foundation Since the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning algorithms. Unfortunately, computer science students without a strong statistical background often find it hard to get started in this area. Remedying this deficiency, Machine Learning: An Algorithmic Perspective, Second Edition helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation. New to the Second Edition Two new chapters on deep belief networks and Gaussian processes Reorganization of the chapters to make a more natural flow of content Revision of the support vector machine material, including a simple implementation for experiments New material on random forests, the perceptron convergence theorem, accuracy methods, and conjugate gradient optimization for the multi-layer perceptron Additional discussions of the Kalman and particle filters Improved code, including better use of naming conventions in Python Suitable for both an introductory one-semester course and more advanced courses, the text strongly encourages students to practice with the code. Each chapter includes detailed examples along with further reading and problems. All of the code used to create the examples is available on the author’s website.

Machine Translation: From Research to Real Users / 5th Conference of the Association for Machine Translation in the Americas, AMTA 2002 Tiburon, CA, USA, October 6-12, 2002. Proceedings

Автор: Richardson Stephen D.
Название: Machine Translation: From Research to Real Users / 5th Conference of the Association for Machine Translation in the Americas, AMTA 2002 Tiburon, CA, USA, October 6-12, 2002. Proceedings
ISBN: 3540442820 ISBN-13(EAN): 9783540442820
Издательство: Springer
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Цена: 7832 р.
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Описание: This book constitutes the refereed proceedings of the 5th Conference of the Association for Machine Translation in the Americas, AMTA 2002, held in Tiburon, CA, USA, in October 2002.The 18 revised full technical papers, 3 user studies, and 9 system descriptions presented were carefully reviewed and selected for inclusion in the book. Among the issues addressed are hybrid translation environments, resource-limited MT, statistical word-level alignment, word formation rules, rule learning, web-based MT, translation divergences, example-based MT, data-driven MT, classification, contextual translation, the lexicon building process, commercial MT systems, speeck-to-speech translation, and language checking systems.

Recent Advances in Example-Based Machine Translation

Автор: Carl M., Way Andy
Название: Recent Advances in Example-Based Machine Translation
ISBN: 1402014015 ISBN-13(EAN): 9781402014017
Издательство: Springer
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Цена: 6265 р.
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Описание: Recent Advances in Example-Based Machine Translation is of relevance to researchers and program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval. It is also of interest to translation technologists and localisation professionals.Recent Advances in Example-Based Machine Translation fills a void, because it is the first book to tackle the issue of EBMT in depth. It gives a state-of-the-art overview of EBMT techniques and provides a coherent structure in which all aspects of EBMT are embedded. Its contributions are written by long-standing researchers in the field of MT in general, and EBMT in particular. This book can be used in graduate-level courses in machine translation and statistical NLP.

Machine Translation: From Real Users to Research / 6th Conference of the Association for Machine Translation in the Americas, AMTA 2004, Washington, DC, USA, September 28-October 2, 2004, Proceedings

Автор: Frederking Robert E., Taylor Kathryn B.
Название: Machine Translation: From Real Users to Research / 6th Conference of the Association for Machine Translation in the Americas, AMTA 2004, Washington, DC, USA, September 28-October 2, 2004, Proceedings
ISBN: 3540233008 ISBN-13(EAN): 9783540233008
Издательство: Springer
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Цена: 7314 р.
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Описание: This book constitutes the refereed proceedings of the 6th Conference of the Association for Machine Translation in the Americas, AMTA 2004, held in Washington, DC, USA, in September/October 2004.The 30 revised papers presented were carefully reviewed and selected for inclusion in the book. The papers address all current issues in machine translation ranging from theoretical and methodological topics to applications in various contexts and evaluation and analysis of user needs and systems.

Deterministic and Statistical Methods in Machine Learning / First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures

Автор: Winkler Joab, Lawrence Neil, Niranjan Mahesan
Название: Deterministic and Statistical Methods in Machine Learning / First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures
ISBN: 3540290737 ISBN-13(EAN): 9783540290735
Издательство: Springer
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Цена: 7314 р.
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Описание: This book consitutes the refereed proceedings of the First International Workshop on Machine Learning held in Sheffield, UK, in September 2004.The 19 revised full papers presented were carefully reviewed and selected for inclusion in the book. They address all current issues in the rapidly maturing field of machine learning that aims to provide practical methods for data discovery, categorisation and modelling. The particular focus of the workshop was advanced research methods in machine learning and statistical signal processing.

Machine Translation / Its Scope and Limits

Автор: Wilks Yorick
Название: Machine Translation / Its Scope and Limits
ISBN: 0387727736 ISBN-13(EAN): 9780387727738
Издательство: Springer
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Цена: 13584 р.
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Описание: Machine Translation (MT) is both an engineering technology and a measure of all things to do with languages and computers—whenever a new theory of language or linguistics is offered, an important criteria for its success is whether or not it will improve machine translation. This book presents a history of machine translation (MT) from the point of view of a major writer and innovator in the subject. It describes and contrasts a range of approaches to the challenges and problems of this remarkable technology by means of a combination of historic papers along with commentaries to update their significance, both at the time of their writing and now. This volume chronicles the evolution of conflicting approaches to MT towards a somewhat skeptical consensus on future progress. Also included is a discussion of the most recent developments in the field and prospects for the future, which have been much changed by the arrival of the World Wide Web.


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