Автор: Bernard Scott Название: Translation, Brains and the Computer ISBN: 303009538X ISBN-13(EAN): 9783030095383 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is about machine translation (MT) and the classic problems associated with this language technology. It examines the causes of these problems and, for linguistic, rule-based systems, attributes the cause to language’s ambiguity and complexity and their interplay in logic-driven processes. For non-linguistic, data-driven systems, the book attributes translation shortcomings to the very lack of linguistics. It then proposes a demonstrable way to relieve these drawbacks in the shape of a working translation model (Logos Model) that has taken its inspiration from key assumptions about psycholinguistic and neurolinguistic function. The book suggests that this brain-based mechanism is effective precisely because it bridges both linguistically driven and data-driven methodologies. It shows how simulation of this cerebral mechanism has freed this one MT model from the all-important, classic problem of complexity when coping with the ambiguities of language. Logos Model accomplishes this by a data-driven process that does not sacrifice linguistic knowledge, but that, like the brain, integrates linguistics within a data-driven process. As a consequence, the book suggests that the brain-like mechanism embedded in this model has the potential to contribute to further advances in machine translation in all its technological instantiations.
Описание: Lynne Bowker and Jairo Buitrago Ciro introduce the concept of machine translation literacy, a new kind of literacy for scholars and librarians in the digital age. This book is a must-read for researchers and information professionals eager to maximize the global reach and impact of any form of scholarly work.
Автор: Richards Dana, Hamburger Henry Название: Logic And Language Models For Computer Science (Third Edition) ISBN: 9813229209 ISBN-13(EAN): 9789813229204 Издательство: World Scientific Publishing Рейтинг: Цена: 13622.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This text presents the formal concepts underlying Computer Science.
It starts with a wide introduction to Logic with an emphasis on reasoning and proof, with chapters on Program Verification and Prolog.
The treatment of computability with Automata and Formal Languages stands out in several ways:
it emphasizes the algorithmic nature of the proofs and the reliance on simulations;
it stresses the centrality of nondeterminism in generative models and the relationship to deterministic recognition models
The style is appropriate for both undergraduate and graduate classes.
Автор: Richards Dana, Hamburger Henry Название: Logic And Language Models For Computer Science (Third Edition) ISBN: 9813230509 ISBN-13(EAN): 9789813230507 Издательство: World Scientific Publishing Рейтинг: Цена: 8078.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This text presents the formal concepts underlying Computer Science.
It starts with a wide introduction to Logic with an emphasis on reasoning and proof, with chapters on Program Verification and Prolog.
The treatment of computability with Automata and Formal Languages stands out in several ways:
it emphasizes the algorithmic nature of the proofs and the reliance on simulations;
it stresses the centrality of nondeterminism in generative models and the relationship to deterministic recognition models
The style is appropriate for both undergraduate and graduate classes.
With recent advances in natural language understanding techniques and far-field microphone arrays, natural language interfaces, such as voice assistants and chatbots, are emerging as a popular new way to interact with computers.
They have made their way out of the industry research labs and into the pockets, desktops, cars and living rooms of the general public. But although such interfaces recognize bits of natural language, and even voice input, they generally lack conversational competence, or the ability to engage in natural conversation. Today's platforms provide sophisticated tools for analyzing language and retrieving knowledge, but they fail to provide adequate support for modeling interaction. The user experience (UX) designer or software developer must figure out how a human conversation is organized, usually relying on commonsense rather than on formal knowledge. Fortunately, practitioners can rely on conversation science.
This book adapts formal knowledge from the field of Conversation Analysis (CA) to the design of natural language interfaces. It outlines the Natural Conversation Framework (NCF), developed at IBM Research, a systematic framework for designing interfaces that work like natural conversation. The NCF consists of four main components: 1) an interaction model of "expandable sequences," 2) a corresponding content format, 3) a pattern language with 100 generic UX patterns and 4) a navigation method of six basic user actions. The authors introduce UX designers to a new way of thinking about user experience design in the context of conversational interfaces, including a new vocabulary, new principles and new interaction patterns. User experience designers and graduate students in the HCI field as well as developers and conversation analysis students should find this book of interest.
Автор: Yang, Qiang (hong Kong University Of Science And Technology) Zhang, Yu (hong Kong University Of Science And Technology) Dai, Wenyuan Pan, Sinno Jialin Название: Transfer learning ISBN: 1107016908 ISBN-13(EAN): 9781107016903 Издательство: Cambridge Academ Рейтинг: Цена: 9186.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Transfer learning deals with how machine learning and artificial intelligence systems can quickly adapt to new tasks and environments. This in-depth tutorial for students, researchers, and developers covers foundations, plus applications such as text mining, inference on social networks, recommendation, multimedia, and cyber-physical systems.
Автор: Amitoj Singh, Munish Kumar, Virender Kadyan Название: Language and Speech Recognition for Human-Computer Interaction ISBN: 1799813908 ISBN-13(EAN): 9781799813903 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 20513.00 р. Наличие на складе: Нет в наличии.
Описание: In today's advancing society, the study of machine learning and artificial intelligence has been a popular area of research across the globe. One aspect of these technological developments is understanding the relationship between computers and human language. Helping computers understand natural linguistics has become a rapidly developing research area, as professionals need advanced techniques in document analysis and recognition methodologies. Understanding the fundamentals and applications of these processing skills is vital. Language and Speech Recognition for Human-Computer Interaction is a collection of innovative research on the methods and applications of natural language processing techniques (NLP) within computer science and programming. Along with discussing the current and future scope of NLP, this book highlights topics including handwriting recognition, acoustic analysis, and forensic document examination. This book is ideally designed for IT specialists, academicians, researchers, scholars, industry professionals, and students seeking current research on the advancement of computational linguistics.
With recent advances in natural language understanding techniques and far-field microphone arrays, natural language interfaces, such as voice assistants and chatbots, are emerging as a popular new way to interact with computers.
They have made their way out of the industry research labs and into the pockets, desktops, cars and living rooms of the general public. But although such interfaces recognize bits of natural language, and even voice input, they generally lack conversational competence, or the ability to engage in natural conversation. Today's platforms provide sophisticated tools for analyzing language and retrieving knowledge, but they fail to provide adequate support for modeling interaction. The user experience (UX) designer or software developer must figure out how a human conversation is organized, usually relying on commonsense rather than on formal knowledge. Fortunately, practitioners can rely on conversation science.
This book adapts formal knowledge from the field of Conversation Analysis (CA) to the design of natural language interfaces. It outlines the Natural Conversation Framework (NCF), developed at IBM Research, a systematic framework for designing interfaces that work like natural conversation. The NCF consists of four main components: 1) an interaction model of "expandable sequences," 2) a corresponding content format, 3) a pattern language with 100 generic UX patterns and 4) a navigation method of six basic user actions. The authors introduce UX designers to a new way of thinking about user experience design in the context of conversational interfaces, including a new vocabulary, new principles and new interaction patterns. User experience designers and graduate students in the HCI field as well as developers and conversation analysis students should find this book of interest.
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