Logic And Language Models For Computer Science (Third Edition), Richards Dana, Hamburger Henry

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
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Цена: 90810.00 T
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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:

Автор: Horacio Saggion
Название: Automatic Text Simplification
ISBN: 1681732149 ISBN-13(EAN): 9781681732145
Издательство: Mare Nostrum (Eurospan)
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Цена: 72070.00 T
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Описание: Automatic text simplification, a research topic which started 20 years ago, now has taken on a central role in natural language processing research. This book presents past and current research in text simplification, exploring key issues including automatic readability assessment, lexical simplification, and syntactic simplification.

Автор: Karim, Kaykobad & Murshed
Название: Technical Challenges And Design Issues In Bangla Language Processing
ISBN: 1466639709 ISBN-13(EAN): 9781466639706
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: Many take advantage of software and hardware accessibility in the English language. However, for non native speakers, this inevitably becomes a problem; specifically for the complex Bangla language which is not easily integrated into the world of technology. <em>Technical Challenges and Design Issues in Bangla Language Processing</em> addresses the difficulties as well as the overwhelming benefits associated with creating programmes and devices that are accessible to the speakers of the Bangla language. Professionals, students, and researchers interested in expanding the fields of computing, information and knowledge management, and communication technologies in the non-English realm will benefit from this comprehensive collection of research.

Автор: Zygmunt Vetulani; Joseph Mariani
Название: Human Language Technology Challenges for Computer Science and Linguistics
ISBN: 3319089579 ISBN-13(EAN): 9783319089577
Издательство: Springer
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Цена: 67080.00 T
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Описание: This book constitutes the refereed proceedings of the 5th Language and Technology Conference: Challenges for Computer Science and Linguistics, LTC 2011, held in Poznan, Poland, in November 2011.

Автор: T. Samad
Название: A Natural Language Interface for Computer-Aided Design
ISBN: 089838222X ISBN-13(EAN): 9780898382228
Издательство: Springer
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Цена: 135050.00 T
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Описание: The advent of computer aided design and the proliferation of computer aided design tools have been instrumental in furthering the state-of-the- art in integrated circuitry. Continuing this progress, however, demands an emphasis on creating user-friendly environments that facilitate the interaction between the designer and the CAD tool. The realization of this fact has prompted investigations into the appropriateness for CAD of a number of user-interface technologies. One type of interface that has hitherto not been considered is the natural language interface. It is our contention that natural language interfaces could solve many of the problems posed by the increasing number and sophistication of CAD tools. This thesis represents the first step in a research effort directed towards the eventual development of a natural language interface for the domain of computer aided design. The breadth and complexity of the CAD domain renders the task of developing a natural language interface for the complete domain beyond the scope of a single doctoral thesis. Hence, we have initally focussed on a sub-domain of CAD. Specifically, we have developed a natural language interface, named Cleopatra, for circuit-simulation post-processing. In other words, with Cleopatra a circuit-designer can extract and manipulate, in English, values from the output of a circuit-simulator (currently SPICE) without manually having to go through the output files produced by the simulator.

Автор: Albrecht Blaser
Название: Natural Language at the Computer
ISBN: 3540500111 ISBN-13(EAN): 9783540500117
Издательство: Springer
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Цена: 55890.00 T
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Автор: Vetulani
Название: Human Language Technology. Challenges for Computer Science and Linguistics
ISBN: 3319937812 ISBN-13(EAN): 9783319937816
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed proceedings of the 8th Language and Technology Conference: Challenges for Computer Science and Linguistics, LTC 2017, held in Poznan, Poland, in November 2017. The 31 revised papers presented in this volume were carefully reviewed and selected from 108 submissions.

Автор: Yunyao Li, Davood Rafiei
Название: Natural Language Data Management and Interfaces
ISBN: 1681734109 ISBN-13(EAN): 9781681734101
Издательство: Mare Nostrum (Eurospan)
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Цена: 87780.00 T
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Описание: The volume of natural language text data has been rapidly increasing over the past two decades, due to factors such as the growth of the Web, the low cost associated with publishing, and the progress on the digitization of printed texts. This growth combined with the proliferation of natural language systems for search and retrieving information provides tremendous opportunities for studying some of the areas where database systems and natural language processing systems overlap.This book explores two interrelated and important areas of overlap: (1) managing natural language data and (2) developing natural language interfaces to databases. It presents relevant concepts and research questions, state-of-the-art methods, related systems, and research opportunities and challenges covering both areas. Relevant topics discussed on natural language data management include data models, data sources, queries, storage and indexing, and transforming natural language text. Under natural language interfaces, it presents the anatomy of these interfaces to databases, the challenges related to query understanding and query translation, and relevant aspects of user interactions. Each of the challenges is covered in a systematic way: first starting with a quick overview of the topics, followed by a comprehensive view of recent techniques that have been proposed to address the challenge along with illustrative examples. It also reviews some notable systems in details in terms of how they address different challenges and their contributions. Finally, it discusses open challenges and opportunities for natural language management and interfaces.The goal of this book is to provide an introduction to the methods, problems, and solutions that are used in managing natural language data and building natural language interfaces to databases. It serves as a starting point for readers who are interested in pursuing additional work on these exciting topics in both academic and industrial environments.

Автор: Yunyao Li, Davood Rafiei
Название: Natural Language Data Management and Interfaces
ISBN: 1681734087 ISBN-13(EAN): 9781681734088
Издательство: Mare Nostrum (Eurospan)
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Цена: 66530.00 T
Наличие на складе: Невозможна поставка.
Описание: The volume of natural language text data has been rapidly increasing over the past two decades, due to factors such as the growth of the Web, the low cost associated with publishing, and the progress on the digitization of printed texts. This growth combined with the proliferation of natural language systems for search and retrieving information provides tremendous opportunities for studying some of the areas where database systems and natural language processing systems overlap.This book explores two interrelated and important areas of overlap: (1) managing natural language data and (2) developing natural language interfaces to databases. It presents relevant concepts and research questions, state-of-the-art methods, related systems, and research opportunities and challenges covering both areas. Relevant topics discussed on natural language data management include data models, data sources, queries, storage and indexing, and transforming natural language text. Under natural language interfaces, it presents the anatomy of these interfaces to databases, the challenges related to query understanding and query translation, and relevant aspects of user interactions. Each of the challenges is covered in a systematic way: first starting with a quick overview of the topics, followed by a comprehensive view of recent techniques that have been proposed to address the challenge along with illustrative examples. It also reviews some notable systems in details in terms of how they address different challenges and their contributions. Finally, it discusses open challenges and opportunities for natural language management and interfaces.The goal of this book is to provide an introduction to the methods, problems, and solutions that are used in managing natural language data and building natural language interfaces to databases. It serves as a starting point for readers who are interested in pursuing additional work on these exciting topics in both academic and industrial environments.

Автор: Robert M. Losee
Название: Predicting Information Retrieval Performance
ISBN: 1681734745 ISBN-13(EAN): 9781681734743
Издательство: Mare Nostrum (Eurospan)
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Цена: 61910.00 T
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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: Lucia Specia, Carolina Scarton, Gustavo Henrique Paetzold
Название: Quality Estimation for Machine Translation
ISBN: 1681733757 ISBN-13(EAN): 9781681733753
Издательство: Mare Nostrum (Eurospan)
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Цена: 87780.00 T
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Описание: Many applications within natural language processing involve performing text-to-text transformations, i.e., given a text in natural language as input, systems are required to produce a version of this text (e.g., a translation), also in natural language, as output. Automatically evaluating the output of such systems is an important component in developing text-to-text applications. Two approaches have been proposed for this problem: (i) to compare the system outputs against one or more reference outputs using string matching-based evaluation metrics and (ii) to build models based on human feedback to predict the quality of system outputs without reference texts. Despite their popularity, reference-based evaluation metrics are faced with the challenge that multiple good (and bad) quality outputs can be produced by text-to-text approaches for the same input. This variation is very hard to capture, even with multiple reference texts. In addition, reference-based metrics cannot be used in production (e.g., online machine translation systems), when systems are expected to produce outputs for any unseen input. In this book, we focus on the second set of metrics, so-called Quality Estimation (QE) metrics, where the goal is to provide an estimate on how good or reliable the texts produced by an application are without access to gold-standard outputs. QE enables different types of evaluation that can target different types of users and applications. Machine learning techniques are used to build QE models with various types of quality labels and explicit features or learnt representations, which can then predict the quality of unseen system outputs. This book describes the topic of QE for text-to-text applications, covering quality labels, features, algorithms, evaluation, uses, and state-of-the-art approaches. It focuses on machine translation as application, since this represents most of the QE work done to date. It also briefly describes QE for several other applications, including text simplification, text summarization, grammatical error correction, and natural language generation.

Автор: Lynne Bowker, Jairo Buitrago Ciro
Название: Machine Translation and Global Research: Towards Improved Machine Translation Literacy in the Scholarly Community
ISBN: 1787567222 ISBN-13(EAN): 9781787567221
Издательство: Emerald
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Цена: 92140.00 T
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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.