Автор: Moorkens Название: Translation Quality Assessment ISBN: 3319912402 ISBN-13(EAN): 9783319912400 Издательство: Springer Цена: 149060 T Описание: This is the first volume that brings together research and practice from academic and industry settings and a combination of human and machine translation evaluation. Its comprehensive collection of papers by leading experts in human and machine translation quality and evaluation who situate current developments and chart future trends fills a clear gap in the literature. This is critical to the successful integration of translation technologies in the industry today, where the lines between human and machine are becoming increasingly blurred by technology: this affects the whole translation landscape, from students and trainers to project managers and professionals, including in-house and freelance translators, as well as, of course, translation scholars and researchers. The editors have broad experience in translation quality evaluation research, including investigations into professional practice with qualitative and quantitative studies, and the contributors are leading experts in their respective fields, providing a unique set of complementary perspectives on human and machine translation quality and evaluation, combining theoretical and applied approaches.
Автор: Moorkens Название: Translation Quality Assessment ISBN: 3319912402 ISBN-13(EAN): 9783319912400 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is the first volume that brings together research and practice from academic and industry settings and a combination of human and machine translation evaluation. Its comprehensive collection of papers by leading experts in human and machine translation quality and evaluation who situate current developments and chart future trends fills a clear gap in the literature. This is critical to the successful integration of translation technologies in the industry today, where the lines between human and machine are becoming increasingly blurred by technology: this affects the whole translation landscape, from students and trainers to project managers and professionals, including in-house and freelance translators, as well as, of course, translation scholars and researchers. The editors have broad experience in translation quality evaluation research, including investigations into professional practice with qualitative and quantitative studies, and the contributors are leading experts in their respective fields, providing a unique set of complementary perspectives on human and machine translation quality and evaluation, combining theoretical and applied approaches.
Автор: Lucia Specia, Carolina Scarton, Gustavo Henrique Paetzold Название: Quality Estimation for Machine Translation ISBN: 1681733757 ISBN-13(EAN): 9781681733753 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 87780.00 T Наличие на складе: Невозможна поставка. 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.
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: 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.
Автор: Sch?fer, R. and Bildhauer, F. Название: Web Corpus Construction. Synthesis Lectures on Human Language Technologies ISBN: 1608459837 ISBN-13(EAN): 9781608459834 Издательство: Turpin Рейтинг: Цена: 30790.00 T Наличие на складе: Невозможна поставка. Описание: The World Wide Web constitutes the largest existing source of texts written in a great variety of languages. A feasible and sound way of exploiting this data for linguistic research is to compile a static corpus for a given language. There are several adavantages of this approach: (i) Working with such corpora obviates the problems encountered when using Internet search engines in quantitative linguistic research (such as non-transparent ranking algorithms). (ii) Creating a corpus from web data is virtually free. (iii) The size of corpora compiled from the WWW may exceed by several orders of magnitudes the size of language resources offered elsewhere. (iv) The data is locally available to the user, and it can be linguistically post-processed and queried with the tools preferred by her/him. This book addresses the main practical tasks in the creation of web corpora up to giga-token size. Among these tasks are the sampling process (i.e., web crawling) and the usual cleanups including boilerplate removal and removal of duplicated content. Linguistic processing and problems with linguistic processing coming from the different kinds of noise in web corpora are also covered. Finally, the authors show how web corpora can be evaluated and compared to other corpora (such as traditionally compiled corpora).
Название: Natural Language Processing: Concepts, Methodologies, Tools, and Applications ISBN: 179980951X ISBN-13(EAN): 9781799809517 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 2263800.00 T Наличие на складе: Нет в наличии. Описание: As technology continues to become more sophisticated, a computer's ability to understand, interpret, and manipulate natural language is also accelerating. Persistent research in the field of natural language processing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror natural language processes that have existed for centuries.
Natural Language Processing: Concepts, Methodologies, Tools, and Applications is a vital reference source on the latest concepts, processes, and techniques for communication between computers and humans. Highlighting a range of topics such as machine learning, computational linguistics, and semantic analysis, this multi-volume book is ideally designed for computer engineers, computer and software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of natural language processing.
Автор: Sumathi S, Janani M Название: Neural Networks for Natural Language Processing ISBN: 1799811603 ISBN-13(EAN): 9781799811602 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 175560.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Information in today's advancing world is rapidly expanding and becoming widely available. This eruption of data has made handling it a daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this data to make it more valuable. NLP improves the interaction between humans and computers, yet there remains a lack of research that focuses on the practical implementations of this trending approach. Neural Networks for Natural Language Processing is a collection of innovative research on the methods and applications of linguistic information processing and its computational properties. This publication will support readers with performing sentence classification and language generation using neural networks, apply deep learning models to solve machine translation and conversation problems, and apply deep structured semantic models on information retrieval and natural language applications. While highlighting topics including deep learning, query entity recognition, and information retrieval, this book is ideally designed for research and development professionals, IT specialists, industrialists, technology developers, data analysts, data scientists, academics, researchers, and students seeking current research on the fundamental concepts and techniques of natural language processing.
Автор: Amitoj Singh, Munish Kumar, Virender Kadyan Название: Language and Speech Recognition for Human-Computer Interaction ISBN: 1799813894 ISBN-13(EAN): 9781799813897 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 212520.00 T Наличие на складе: Невозможна поставка. Описание: Presents 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.
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: 136750.00 T 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.
Автор: Sumathi S, Janani M Название: Neural Networks for Natural Language Processing ISBN: 179981159X ISBN-13(EAN): 9781799811596 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 229150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Information in today's advancing world is rapidly expanding and becoming widely available. This eruption of data has made handling it a daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this data to make it more valuable. NLP improves the interaction between humans and computers, yet there remains a lack of research that focuses on the practical implementations of this trending approach. Neural Networks for Natural Language Processing is a collection of innovative research on the methods and applications of linguistic information processing and its computational properties. This publication will support readers with performing sentence classification and language generation using neural networks, apply deep learning models to solve machine translation and conversation problems, and apply deep structured semantic models on information retrieval and natural language applications. While highlighting topics including deep learning, query entity recognition, and information retrieval, this book is ideally designed for research and development professionals, IT specialists, industrialists, technology developers, data analysts, data scientists, academics, researchers, and students seeking current research on the fundamental concepts and techniques of natural language processing.
Автор: Krzysztof Wolk Название: Machine Learning in Translation Corpora Processing ISBN: 036718673X ISBN-13(EAN): 9780367186739 Издательство: Taylor&Francis Рейтинг: Цена: 163330.00 T Наличие на складе: Невозможна поставка. Описание: This book investigates how to improve statistical machine speech translation between Polish and English. The main objective of the book is to develop an automatic and robust Polish-to-English translation system to meet specific translation requirements and to develop bilingual textual resources by mining comparable corpora.
Автор: Scott Название: Translation, Brains and the Computer ISBN: 3319766287 ISBN-13(EAN): 9783319766287 Издательство: Springer Рейтинг: Цена: 130430.00 T 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.
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