Download or read book A Hybrid Machine Translation Framework for an Improved Translation Workflow written by Santanu Kumar Pal and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Hybrid Approaches to Machine Translation written by Marta R. Costa-jussà and published by Springer. This book was released on 2016-07-12 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides an overview of the field of Hybrid Machine Translation (MT) and presents some of the latest research conducted by linguists and practitioners from different multidisciplinary areas. Nowadays, most important developments in MT are achieved by combining data-driven and rule-based techniques. These combinations typically involve hybridization of different traditional paradigms, such as the introduction of linguistic knowledge into statistical approaches to MT, the incorporation of data-driven components into rule-based approaches, or statistical and rule-based pre- and post-processing for both types of MT architectures. The book is of interest primarily to MT specialists, but also – in the wider fields of Computational Linguistics, Machine Learning and Data Mining – to translators and managers of translation companies and departments who are interested in recent developments concerning automated translation tools.
Download or read book Hybrid Workflows in Translation written by Michał Kornacki and published by Taylor & Francis. This book was released on 2024-09-09 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise volume serves as a valuable resource on understanding the integration and impact of generative AI (GenAI) and evolving technologies on translation workflows. As translation technologies continue to evolve rapidly, translation scholars and practicing translators need to address the challenges of how best to factor AI-enhanced tools into their practices and in translator training programs. The book covers a range of AI applications, including AI-powered features within Translation Management Systems, AI-based machine translation, AI-assisted translation, language generation modules and language checking tools. The volume puts the focus on using AI in translation responsibly and effectively, but also on ways to support students and practitioners in their professional development through easing technological anxieties and building digital resilience. This book will be of interest to students, scholars and practitioners in translation and interpreting studies, as well as key stakeholders in the language services industry.
Download or read book Machine Translation and Global Research written by Lynne Bowker and published by Emerald Group Publishing. This book was released on 2019-05-01 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Machine Translation written by Thierry Poibeau and published by MIT Press. This book was released on 2017-09-15 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Hybrid Machine Translation for Low Resource Languages written by George Joe and published by . This book was released on 2023-11-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book "Hybrid Machine Translation for Low-Resource Languages" authored by George Joe provides a comprehensive overview of the development and evaluation of hybrid machine translation systems for English to Indian languages under low-resource conditions. The book discusses the challenges faced in developing machine translation systems for low-resource languages and how hybrid approaches can be used to overcome these challenges. The author presents a detailed analysis of various hybrid machine translation techniques such as rule-based, statistical, and neural machine translation, and how these techniques can be integrated to improve translation quality and efficiency. The book also covers the use of machine learning techniques such as transfer learning and active learning to improve the performance of machine translation systems. The book provides numerous case studies and practical examples of the development and evaluation of hybrid machine translation systems for low-resource languages. The author also discusses the importance of creating parallel corpora for low-resource languages and the challenges involved in creating such corpora. This book is a valuable resource for researchers and practitioners working in the field of natural language processing, machine learning, and machine translation. It provides a comprehensive understanding of the challenges involved in developing machine translation systems for low-resource languages and the ways in which hybrid approaches can be used to overcome these challenges. It also highlights the importance of creating parallel corpora for low-resource languages to improve the performance of machine translation systems.
Download or read book Hybrid Workflows in Translation written by Michal Kornacki and published by Routledge. This book was released on 2024-09-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise volume serves as a valuable resource on understanding the integration and impact of generative AI (GenAI) and evolving technologies on translation workflows. As translation technologies continue to evolve rapidly, translation scholars and practicing translators need to address the challenges of how best to factor AI-enhanced tools into their practices and in translator training programs. The book covers a range of AI applications, including AI-powered features within Translation Management Systems, AI-based machine translation, AI-assisted translation, language generation modules, and language checking tools. The volume puts the focus on using AI in translation responsibly and effectively, but also on ways to support students and practitioners in their professional development through easing technological anxieties and building digital resilience. This book will be of interest to students, scholars, and practitioners in translation and interpreting studies, as well as key stakeholders in the language services industry.
Download or read book Machine Translation written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-05 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Machine Translation The subfield of computational linguistics known as machine translation, which is often referred to by the abbreviation MT at times, explores the use of software to translate text or speech from one language to another. Machine translation can also be referred to as automatic translation. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Machine Translation Chapter 2: Computational Linguistics Chapter 3: Natural Language Processing Chapter 4: Statistical Machine Translation Chapter 5: Neural Machine Translation Chapter 6: Google Neural Machine Translation Chapter 7: Hybrid Machine Translation Chapter 8: Rule-based Machine Translation Chapter 9: Evaluation of Machine Translation Chapter 10: History of Machine Translation (II) Answering the public top questions about machine translation. (III) Real world examples for the usage of machine translation in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of machine translation' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of machine translation.
Download or read book Translation Engines Techniques for Machine Translation written by Arturo Trujillo and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine translation (MT) is the area of computer science and applied linguistics dealing with the translation of human languages such as English and German. MT on the Internet has become an important tool by providing fast, economical and useful translations. With globalisation and expanding trade, demand for translation is set to grow. Translation Engines covers theoretical and practical aspects of MT, both classic and new, including: - Character sets and formatting languages - Translation memory - Linguistic and computational foundations - Basic computational linguistic techniques - Transfer and interlingua MT - Evaluation Software accompanies the text, providing readers with hands on experience of the main algorithms.
Download or read book Machine Translation with Minimal Reliance on Parallel Resources written by George Tambouratzis and published by Springer. This book was released on 2017-08-09 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a unified view on a new methodology for Machine Translation (MT). This methodology extracts information from widely available resources (extensive monolingual corpora) while only assuming the existence of a very limited parallel corpus, thus having a unique starting point to Statistical Machine Translation (SMT). In this book, a detailed presentation of the methodology principles and system architecture is followed by a series of experiments, where the proposed system is compared to other MT systems using a set of established metrics including BLEU, NIST, Meteor and TER. Additionally, a free-to-use code is available, that allows the creation of new MT systems. The volume is addressed to both language professionals and researchers. Prerequisites for the readers are very limited and include a basic understanding of the machine translation as well as of the basic tools of natural language processing.
Download or read book Learning Machine Translation written by Cyril Goutte and published by MIT Press. This book was released on 2009 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: How Machine Learning can improve machine translation: enabling technologies and new statistical techniques.
Download or read book Joint Training for Neural Machine Translation written by Yong Cheng and published by Springer Nature. This book was released on 2019-08-26 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents four approaches to jointly training bidirectional neural machine translation (NMT) models. First, in order to improve the accuracy of the attention mechanism, it proposes an agreement-based joint training approach to help the two complementary models agree on word alignment matrices for the same training data. Second, it presents a semi-supervised approach that uses an autoencoder to reconstruct monolingual corpora, so as to incorporate these corpora into neural machine translation. It then introduces a joint training algorithm for pivot-based neural machine translation, which can be used to mitigate the data scarcity problem. Lastly it describes an end-to-end bidirectional NMT model to connect the source-to-target and target-to-source translation models, allowing the interaction of parameters between these two directional models.
Download or read book Machine Translation and Translation Theory written by Christa Hauenschild and published by Walter de Gruyter. This book was released on 2011-08-02 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: The series serves to propagate investigations into language usage, especially with respect to computational support. This includes all forms of text handling activity, not only interlingual translations, but also conversions carried out in response to different communicative tasks. Among the major topics are problems of text transfer and the interplay between human and machine activities.
Download or read book Recent Advances in Example Based Machine Translation written by M. Carl and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent Advances in Example-Based Machine Translation is of relevance to researchers and program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval. It is also of interest to translation technologists and localisation professionals. Recent Advances in Example-Based Machine Translation fills a void, because it is the first book to tackle the issue of EBMT in depth. It gives a state-of-the-art overview of EBMT techniques and provides a coherent structure in which all aspects of EBMT are embedded. Its contributions are written by long-standing researchers in the field of MT in general, and EBMT in particular. This book can be used in graduate-level courses in machine translation and statistical NLP.
Download or read book Machine translation for everyone written by Dorothy Kenny and published by BoD – Books on Demand. This book was released on 2022-07-01 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Language learning and translation have always been complementary pillars of multilingualism in the European Union. Both have been affected by the increasing availability of machine translation (MT): language learners now make use of free online MT to help them both understand and produce texts in a second language, but there are fears that uninformed use of the technology could undermine effective language learning. At the same time, MT is promoted as a technology that will change the face of professional translation, but the technical opacity of contemporary approaches, and the legal and ethical issues they raise, can make the participation of human translators in contemporary MT workflows particularly complicated. Against this background, this book attempts to promote teaching and learning about MT among a broad range of readers, including language learners, language teachers, trainee translators, translation teachers, and professional translators. It presents a rationale for learning about MT, and provides both a basic introduction to contemporary machine-learning based MT, and a more advanced discussion of neural MT. It explores the ethical issues that increased use of MT raises, and provides advice on its application in language learning. It also shows how users can make the most of MT through pre-editing, post-editing and customization of the technology.
Download or read book Machine Translation written by Association for Machine Translation in the Americas. Conference and published by . This book was released on 2002 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Translation written by Bonnie Jean Dorr and published by MIT Press. This book was released on 1993 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
