Machine Translation and Global Research: Towards Improved Machine Translation Literacy in the Scholarly Community, Lynne Bowker, Jairo Buitrago Ciro
Автор: Koehn, Philipp Название: Statistical machine translation ISBN: 0521874157 ISBN-13(EAN): 9780521874151 Издательство: Cambridge Academ Рейтинг: Цена: 69690.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Название: Learning machine translation ISBN: 0262072971 ISBN-13(EAN): 9780262072977 Издательство: MIT Press Рейтинг: Цена: 11390.00 T Наличие на складе: Нет в наличии. Описание: The Internet gives us access to a wealth of information in languages we don`t understand. The investigation of automated or semi-automated approaches to translation has become a thriving research field with enormous commercial potential. This title investigates how Machine Learning techniques can improve Statistical Machine Translation.
Автор: Bhattacharyya Siddhartha, Das Nibaran, Bhattacharjee Debotosh Название: Handbook of Research on Recent Developments in Intelligent Communication Application ISBN: 1522517855 ISBN-13(EAN): 9781522517856 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 349270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The communication field is evolving rapidly in order to keep up with society’s demands. As such, it becomes imperative to research and report recent advancements in computational intelligence as it applies to communication networks.The Handbook of Research on Recent Developments in Intelligent Communication Application is a pivotal reference source for the latest developments on emerging data communication applications. Featuring extensive coverage across a range of relevant perspectives and topics, such as satellite communication, cognitive radio networks, and wireless sensor networks, this book is ideally designed for engineers, professionals, practitioners, upper-level students, and academics seeking current information on emerging communication networking trends.
Автор: Inmon, Bill Название: Hearing the voice of the customer ISBN: 1634623312 ISBN-13(EAN): 9781634623315 Издательство: Gazelle Book Services Рейтинг: Цена: 37170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Increase the awareness of your customer's behavior to survive and excel within your industry.
One hundred years ago, the voice of the customer was easily and routinely heard by the shopkeeper. In small towns, the shopkeeper knew everyone. Today's world has gotten much bigger and much more complex. No longer does the store owner personally know everyone who comes into the store. Yet there are three important abilities technologies offer that make it possible to listen to the voice of the customer today:
The ability to acquire, store, and manage huge amounts of data
The ability to read and understand text in a computerized environment
The ability to visualize data
This book answers important questions such as:
Where is the voice of the customer heard?
How does the corporation find and capture the voice of the customer?
How is the voice of the customer actually interpreted and understood?
How do you cope with the volume of messages the customer is sending you?
How do you separate noise from the important messages?
How do you analyze the composite voice of the customer over thousands of customers?
How do you reduce the voice of the customer to a visual format that is understood by management?
How do you know when the message the customer is sending changes?
After reading this book the reader will be able to manage, build, and operate a corporate infrastructure that listens to the voice of the customer.
Автор: Willems Roel M Название: Cognitive Neuroscience of Natural Language Use ISBN: 1108402682 ISBN-13(EAN): 9781108402682 Издательство: Cambridge Academ Рейтинг: Цена: 33790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Can we study the brain basis of language, as we use it in our daily lives? In this book, a range of international experts provide a state-of-the-art overview of current approaches to the cognitive neuroscience of natural language use.
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: 90810.00 T 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: Inmon, Bill Название: Turning text into gold ISBN: 1634621662 ISBN-13(EAN): 9781634621663 Издательство: Gazelle Book Services Рейтинг: Цена: 37170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Robert M. Losee Название: Predicting Information Retrieval Performance ISBN: 1681734745 ISBN-13(EAN): 9781681734743 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 61910.00 T Наличие на складе: Невозможна поставка. Описание: Within the constraints of alien control or influence, it is argued, cultural and organisational barriers have consistently allowed a wide range of initiative to African leaders and communities in a creative and flexible adjustment to new and unfamiliar demands. Exploration of this African initiative in various contexts suggests a complex, fascinating pattern of cultural and structural interaction.
Автор: Jan Zizka, Frantisek Da?ena Название: Modern Computational Models of Semantic Discovery in Natural Language ISBN: 1466686901 ISBN-13(EAN): 9781466686908 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 208830.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Collects and reviews the most prominent linguistic theories into a single source that serves as an essential reference for future solutions to one of the most important challenges of our age. This book includes a comprehensive range of topics covering digital media, social interaction in online environments, text and data mining, language processing and translation, among others.
Автор: Duyga Buga, Muhlise Cosgun Ogeyik Название: Psycholinguistics and Cognition in Language Processing ISBN: 1522540091 ISBN-13(EAN): 9781522540090 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 189420.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The relationship between language and psychology is one that has been studied for centuries. Influencing one another, these two fields uncover how the human mind's processes are interrelated.Psycholinguistics and Cognition in Language Processing is a critical scholarly resource that examines the mystery of language and the obscurity of psychology using innovative studies. Featuring coverage on a broad range of topics, such as language acquisition, emotional aspects in foreign language learning, and speech learning model, this book is geared towards linguists, academicians, practitioners, and researchers, seeking current research on the cognitive and emotional synthetisation of multilingualism.
Автор: Jeffrey Heinz, Colin de la Higuera, Menno van Zaanen Название: Grammatical Inference for Computational Linguistics ISBN: 1608459772 ISBN-13(EAN): 9781608459773 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 46200.00 T Наличие на складе: Невозможна поставка. Описание: Provides a thorough introduction to the subfield of theoretical computer science known as grammatical inference from a computational linguistic perspective. Grammatical inference provides principled methods for developing computationally sound algorithms that learn structure from strings of symbols.
Автор: Manfred Stede, Jodi Schneider Название: Argumentation Mining ISBN: 1681734613 ISBN-13(EAN): 9781681734613 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 97950.00 T Наличие на складе: Невозможна поставка. Описание: Argumentation mining is an application of natural language processing (NLP) that emerged a few years ago and has recently enjoyed considerable popularity, as demonstrated by a series of international workshops and by a rising number of publications at the major conferences and journals of the field. Its goals are to identify argumentation in text or dialogue; to construct representations of the constellation of claims, supporting and attacking moves (in different levels of detail); and to characterize the patterns of reasoning that appear to license the argumentation. Furthermore, recent work also addresses the difficult tasks of evaluating the persuasiveness and quality of arguments. Some of the linguistic genres that are being studied include legal text, student essays, political discourse and debate, newspaper editorials, scientific writing, and others.The book starts with a discussion of the linguistic perspective, characteristics of argumentative language, and their relationship to certain other notions such as subjectivity.Besides the connection to linguistics, argumentation has for a long time been a topic in Artificial Intelligence, where the focus is on devising adequate representations and reasoning formalisms that capture the properties of argumentative exchange. It is generally very difficult to connect the two realms of reasoning and text analysis, but we are convinced that it should be attempted in the long term, and therefore we also touch upon some fundamentals of reasoning approaches.Then the book turns to its focus, the computational side of mining argumentation in text. We first introduce a number of annotated corpora that have been used in the research. From the NLP perspective, argumentation mining shares subtasks with research fields such as subjectivity and sentiment analysis, semantic relation extraction, and discourse parsing. Therefore, many technical approaches are being borrowed from those (and other) fields. We break argumentation mining into a series of subtasks, starting with the preparatory steps of classifying text as argumentative (or not) and segmenting it into elementary units. Then, central steps are the automatic identification of claims, and finding statements that support or oppose the claim. For certain applications, it is also of interest to compute a full structure of an argumentative constellation of statements. Next, we discuss a few steps that try to 'dig deeper': to infer the underlying reasoning pattern for a textual argument, to reconstruct unstated premises (so-called 'enthymemes'), and to evaluate the quality of the argumentation. We also take a brief look at 'the other side' of mining, i.e., the generation or synthesis of argumentative text.The book finishes with a summary of the argumentation mining tasks, a sketch of potential applications, and a-necessarily subjective-outlook for the field.
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