Learning Machine Translation
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Learning Machine Translation
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Author : Cyril Goutte
language : en
Publisher: MIT Press
Release Date : 2009
Learning Machine Translation written by Cyril Goutte and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.
How Machine Learning can improve machine translation: enabling technologies and new statistical techniques.
Neural Machine Translation
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Author : Philipp Koehn
language : en
Publisher: Cambridge University Press
Release Date : 2020-06-18
Neural Machine Translation written by Philipp Koehn and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-18 with Computers categories.
Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
Machine Learning In Translation Corpora Processing
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Author : Krzysztof Wolk
language : en
Publisher: CRC Press
Release Date : 2019-02-25
Machine Learning In Translation Corpora Processing written by Krzysztof Wolk and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-25 with Computers categories.
This book reviews ways to improve statistical machine speech translation between Polish and English. Research has been conducted mostly on dictionary-based, rule-based, and syntax-based, machine translation techniques. Most popular methodologies and tools are not well-suited for the Polish language and therefore require adaptation, and language resources are lacking in parallel and monolingual data. The main objective of this volume 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.
Machine Translation
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Author : Thierry Poibeau
language : en
Publisher: MIT Press
Release Date : 2017-09-15
Machine Translation written by Thierry Poibeau and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-15 with Computers categories.
A concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and major players in the industry. The dream of a universal translation device goes back many decades, long before Douglas Adams's fictional Babel fish provided this service in The Hitchhiker's Guide to the Galaxy. Since the advent of computers, research has focused on the design of digital machine translation tools—computer programs capable of automatically translating a text from a source language to a target language. This has become one of the most fundamental tasks of artificial intelligence. This volume in the MIT Press Essential Knowledge series offers a concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and market potential. The main approaches are presented from a largely historical perspective and in an intuitive manner, allowing the reader to understand the main principles without knowing the mathematical details. The book begins by discussing problems that must be solved during the development of a machine translation system and offering a brief overview of the evolution of the field. It then takes up the history of machine translation in more detail, describing its pre-digital beginnings, rule-based approaches, the 1966 ALPAC (Automatic Language Processing Advisory Committee) report and its consequences, the advent of parallel corpora, the example-based paradigm, the statistical paradigm, the segment-based approach, the introduction of more linguistic knowledge into the systems, and the latest approaches based on deep learning. Finally, it considers evaluation challenges and the commercial status of the field, including activities by such major players as Google and Systran.
Machine Translation
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Author : Yorick Wilks
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-10-30
Machine Translation written by Yorick Wilks and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-30 with Computers categories.
A history of machine translation (MT) from the point of view of a major writer and innovator in the field is the subject of this book. It details the deep differences between rival groups on how best to do MT, and presents a global perspective covering historical and contemporary systems in Europe, the US and Japan. The author considers MT as a fundamental part of Artificial Intelligence and the ultimate test-bed for all computational linguistics.
Machine Translation
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Author : Bonnie Jean Dorr
language : en
Publisher: MIT Press
Release Date : 1993
Machine Translation written by Bonnie Jean Dorr and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.
This book describes a novel, cross-linguistic approach to machine translation that solves certain classes of syntactic and lexical divergences by means of a lexical conceptual structure that can be composed and decomposed in language-specific ways. This approach allows the translator to operate uniformly across many languages, while still accounting for knowledge that is specific to each language.
Dual Learning
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Author : Tao Qin
language : en
Publisher: Springer Nature
Release Date : 2020-11-13
Dual Learning written by Tao Qin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-13 with Computers categories.
Many AI (and machine learning) tasks present in dual forms, e.g., English-to-Chinese translation vs. Chinese-to-English translation, speech recognition vs. speech synthesis,question answering vs. question generation, and image classification vs. image generation. Dual learning is a new learning framework that leverages the primal-dual structure of AI tasks to obtain effective feedback or regularization signals in order to enhance the learning/inference process. Since it was first introduced four years ago, the concept has attracted considerable attention in multiple fields, and been proven effective in numerous applications, such as machine translation, image-to-image translation, speech synthesis and recognition, (visual) question answering and generation, image captioning and generation, and code summarization and generation. Offering a systematic and comprehensive overview of dual learning, this book enables interested researchers (both established and newcomers) and practitioners to gain a better understanding of the state of the art in the field. It also provides suggestions for further reading and tools to help readers advance the area. The book is divided into five parts. The first part gives a brief introduction to machine learning and deep learning. The second part introduces the algorithms based on the dual reconstruction principle using machine translation, image translation, speech processing and other NLP/CV tasks as the demo applications. It covers algorithms, such as dual semi-supervised learning, dual unsupervised learning and multi-agent dual learning. In the context of image translation, it introduces algorithms including CycleGAN, DualGAN, DiscoGAN cdGAN and more recent techniques/applications. The third part presents various work based on the probability principle, including dual supervised learning and dual inference based on the joint-probability principle and dual semi-supervised learning based on the marginal-probability principle. The fourth part reviews various theoretical studies on dual learning and discusses its connections to other learning paradigms. The fifth part provides a summary and suggests future research directions.
Computer Vision Eccv 2002
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Author : Anders Heyden
language : en
Publisher: Springer
Release Date : 2002-05-17
Computer Vision Eccv 2002 written by Anders Heyden and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-05-17 with Computers categories.
Premiering in 1990 in Antibes, France, the European Conference on Computer Vision, ECCV, has been held biennially at venues all around Europe. These conferences have been very successful, making ECCV a major event to the computer vision community. ECCV 2002 was the seventh in the series. The privilege of organizing it was shared by three universities: The IT University of Copenhagen, the University of Copenhagen, and Lund University, with the conference venue in Copenhagen. These universities lie ̈ geographically close in the vivid Oresund region, which lies partly in Denmark and partly in Sweden, with the newly built bridge (opened summer 2000) crossing the sound that formerly divided the countries. We are very happy to report that this year’s conference attracted more papers than ever before, with around 600 submissions. Still, together with the conference board, we decided to keep the tradition of holding ECCV as a single track conference. Each paper was anonymously refereed by three different reviewers. For the nal selection, for the rst time for ECCV, a system with area chairs was used. These met with the program chairsinLundfortwodaysinFebruary2002toselectwhatbecame45oralpresentations and 181 posters.Also at this meeting the selection was made without knowledge of the authors’identity.
Machine Translation And Foreign Language Learning
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Author : Kizito Tekwa
language : en
Publisher: Springer Nature
Release Date : 2024-01-02
Machine Translation And Foreign Language Learning written by Kizito Tekwa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-02 with Computers categories.
The book investigates how machine translation (MT) provides opportunities and increases the willingness to communicate in a foreign language. It is informed by a mixed methods methodological approach that analyzes quantitative and qualitative data of questionnaires and real-time instant messages (IM). The book is unique because it contains tables, figures, and screenshots of actual real-time IM exchanges. It is innovative in discussing IM translation, a novel form of MT, and demonstrates how the technology offers English foreign language learners, in this case, Chinese college students, communication opportunities while increasing their willingness to communicate. The study provides an interesting insight into IM user profiles, clients, and usages. Smartphone screenshots are the locale of the study whose findings have far-reaching implications for students, language and translation instructors, and curriculum designers.