Syntax-based Statistical Machine Translation, Philip Williams, Michael Gertz, Matt Post, Philipp Koehn

Автор: Joseph Olive, Caitlin Christianson, John McCary
Название: Handbook of Natural Language Processing and Machine Translation
ISBN: 1441977120 ISBN-13(EAN): 9781441977120
Издательство: Springer
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Цена: 232910.00 T
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Описание: This comprehensive handbook, written by leading experts in the field, details the groundbreaking research conducted under the breakthrough GALE program--The Global Autonomous Language Exploitation within the Defense Advanced Research Projects Agency (DARPA), while placing it in the context of previous research in the fields of natural language and signal processing, artificial intelligence and machine translation.The most fundamental contrast between GALE and its predecessor programs was its holistic integration of previously separate or sequential processes. In earlier language research programs, each of the individual processes was performed separately and sequentially: speech recognition, language recognition, transcription, translation, and content summarization. The GALE program employed a distinctly new approach by executing these processes simultaneously. Speech and language recognition algorithms now aid translation and transcription processes and vice versa. This combination of previously distinct processes has produced significant research and performance breakthroughs and has fundamentally changed the natural language processing and machine translation fields.This comprehensive handbook provides an exhaustive exploration into these latest technologies in natural language, speech and signal processing, and machine translation, providing researchers, practitioners and students with an authoritative reference on the topic.

Автор: Fatima
Название: Principles of Automated Negotiation
ISBN: 1107002540 ISBN-13(EAN): 9781107002548
Издательство: Cambridge Academ
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Цена: 50680.00 T
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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.

Автор: Caviglione, Coccoli & Merlo
Название: Social Network Engineering For Secure Web Data And Services
ISBN: 1466639261 ISBN-13(EAN): 9781466639263
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: While the innovation and phenomenon of social network applications has greatly impacted society, the economy, and the technological pool of the internet; these platforms are not only used for content sharing purposes. They are also used to support and develop new services and applications. <em>Social Network Engineering for Secure Web Data and Services</em> provides empirical research on the engineering of social network infrastructures, the development of novel applications, and the impact of social network- based services over the internet. This comprehensive collection highlights issues and solutions developed to prevent security threats and introduce proper countermeasures for attacks on every level. This book is useful for professionals and researchers in the field of social network and web security.

Автор: Ghallab
Название: Automated Planning and Acting
ISBN: 1107037271 ISBN-13(EAN): 9781107037274
Издательство: Cambridge Academ
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Цена: 70750.00 T
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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.

Автор: Inmon, Bill
Название: Turning text into gold
ISBN: 1634621662 ISBN-13(EAN): 9781634621663
Издательство: Gazelle Book Services
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Цена: 37170.00 T
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Описание: In our distant past, we attempted to create wealth by turning everyday substances into gold. This was early alchemy, and ultimately it did not work. But the world has changed. Today we have a type of modern alchemy that really can create gold. We can transform voluminous text into a wealth of knowledge. Text is a common fabric of society, yet it is still challenging for our technology to make sense of text. This is where taxonomies can help. In this book, legendary Bill Inmon will introduce you to the concept of taxonomies and how they are used to simplify and understand text. We emphasise the practical aspects of taxonomies, and the subsequent usage of taxonomies as a basis for textual analytics. This book is for managers who have to deal with text, students of computer science, programmers who need to understand taxonomies, systems analysts who hope to draw business value out of a body of text, and especially those who are struggling to decode data lakes. Hopefully for those individuals (and many more), this book will serve as both an introduction to taxonomies and a guide to how taxonomies can be used to bring text into the realm of corporate decision-making. This book will introduce you to the world of taxonomies, as well as explore: Simple and complex taxonomies; Ontologies; Obtaining taxonomies; Changing taxonomies; Taxonomies and data models; Types of textual data; Textual analytics. In addition, several case studies are presented from industries as diverse as banking, call centres, and travel.

Автор: Koehn, Philipp
Название: Statistical machine translation
ISBN: 0521874157 ISBN-13(EAN): 9780521874151
Издательство: Cambridge Academ
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Цена: 69690.00 T
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Описание: Automatic language translation systems like those used by Google, have been revolutionized by recent advances in the methods used in statistical machine translation. This first textbook on the topic explains these innovations carefully and shows the reader, whether a student or a developer, how to build their own translation system.

Автор: Deyi Xiong; Min Zhang
Название: Linguistically Motivated Statistical Machine Translation
ISBN: 9812873554 ISBN-13(EAN): 9789812873552
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT).

Автор: Emily M. Bender
Название: Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax
ISBN: 1627050116 ISBN-13(EAN): 9781627050111
Издательство: Mare Nostrum (Eurospan)
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Цена: 46200.00 T
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Описание: Presents in a succinct and accessible fashion information about the morphological and syntactic structure of human languages that can be useful in creating more linguistically sophisticated, more language-independent, and thus more successful NLP systems.

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: 149060.00 T
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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.

Автор: Philipp Cimiano, Christina Unger, John McCrae
Название: Ontology-Based Interpretation of Natural Language
ISBN: 1608459896 ISBN-13(EAN): 9781608459896
Издательство: Mare Nostrum (Eurospan)
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Цена: 46200.00 T
Наличие на складе: Невозможна поставка.
Описание: For machines, however, the task of interpreting natural language, especially grasping meaning beyond the literal content, has proven extremely difficult and requires a large amount of background knowledge. This book focuses on the interpretation of natural language with respect to specific domain knowledge captured in ontologies.

Автор: Costa-juss?
Название: Hybrid Approaches to Machine Translation
ISBN: 3319213105 ISBN-13(EAN): 9783319213101
Издательство: Springer
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Цена: 79190.00 T
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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.

Автор: Frank Van Eynde
Название: Linguistic Issues in Machine Translation
ISBN: 1474246540 ISBN-13(EAN): 9781474246545
Издательство: Bloomsbury Academic
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Цена: 147840.00 T
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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.