Download or read book Overview on Machine Translation Services written by Virtapuro, Miko and published by Nordic Council of Ministers. This book was released on 2023-10-06 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Available online: https://pub.norden.org/nord2023-032/ Overview on Machine Translation Services is part of the project ‘World’s smoothest cross-border mobility and daily life through digitalisation’, with a broader objective of streamlining the daily life and mobility of citizens and companies across borders by facilitating the exchange of data between authorities in the Nordic and Baltic countries. The machine translation engines are viewed through cases of studying abroad, transferring health data and understanding legislation texts smoothly over the borders of Nordic and Baltic countries. The Overview on Machine Translation Services helps in the consideration of potential for machine translation and in assessing machine translation services based on the intended purpose. Machine translation can enable the translation of information into several languages in a cost-effective manner.
Download or read book An Introduction to Machine Translation written by William John Hutchins and published by . This book was released on 1992 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The translation of foreign language texts by computers was one of the first tasks that the pioneers of computing and artificial intelligence set themselves. Machine translation is again becoming an important field of research and development as the need for translations of technical and commercial documentation is growing beyond the capacity of the translation profession.
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 Neural Machine Translation written by Philipp Koehn and published by Cambridge University Press. This book was released on 2020-06-18 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
Download or read book Readings in Machine Translation written by Sergei Nirenburg and published by MIT Press. This book was released on 2003 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of machine translation (MT) - the automation of translation between human languages - has existed for more than 50 years. MT helped to usher in the field of computational linguistics and has influenced methods and applications in knowledge representation, information theory, and mathematical statistics.
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.
Download or read book Statistical Machine Translation written by Philipp Koehn and published by Cambridge University Press. This book was released on 2010 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.
Download or read book Progress in Machine Translation written by Sergei Nirenburg and published by IOS Press. This book was released on 1993 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Translation written by Dimitri Alexander Kellogg and published by . This book was released on 1961 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Translation written by D. Arnold and published by Wiley-Blackwell. This book was released on 1994 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 Machine Translation written by Yorick Wilks and published by Springer Science & Business Media. This book was released on 2008-10-30 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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 205 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 Introduction to Google Translate written by Gilad James, PhD and published by Gilad James Mystery School. This book was released on with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: Google Translate is a multilingual translation service provided by Google. It allows users to translate words, phrases, and entire documents between multiple languages. The service was launched in April 2006 and has since been constantly updated to provide more accurate translations. Initially offering translations in only two languages, Google Translate now supports over 100 languages. The translation process works by analyzing the text or document input by the user, breaking it up into smaller segments, and then using statistical algorithms to match these segments with translations from its database. Google Translate has been a helpful tool for people to communicate across different languages, whether it be for business or personal use. However, it must be noted that automated translations often carry a high risk of inaccuracies due to the complexities inherent in language and the nuances of different cultures and contexts. It is always recommended to use translations as a starting point, and then have a native speaker review and refine the language to ensure accuracy.
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 and Transliteration involving Related Low resource Languages written by Anoop Kunchukuttan and published by CRC Press. This book was released on 2021-09-08 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Translation and Transliteration involving Related, Low-resource Languages discusses an important aspect of natural language processing that has received lesser attention: translation and transliteration involving related languages in a low-resource setting. This is a very relevant real-world scenario for people living in neighbouring states/provinces/countries who speak similar languages and need to communicate with each other, but training data to build supporting MT systems is limited. The book discusses different characteristics of related languages with rich examples and draws connections between two problems: translation for related languages and transliteration. It shows how linguistic similarities can be utilized to learn MT systems for related languages with limited data. It comprehensively discusses the use of subword-level models and multilinguality to utilize these linguistic similarities. The second part of the book explores methods for machine transliteration involving related languages based on multilingual and unsupervised approaches. Through extensive experiments over a wide variety of languages, the efficacy of these methods is established. Features Novel methods for machine translation and transliteration between related languages, supported with experiments on a wide variety of languages. An overview of past literature on machine translation for related languages. A case study about machine translation for related languages between 10 major languages from India, which is one of the most linguistically diverse country in the world. The book presents important concepts and methods for machine translation involving related languages. In general, it serves as a good reference to NLP for related languages. It is intended for students, researchers and professionals interested in Machine Translation, Translation Studies, Multilingual Computing Machine and Natural Language Processing. It can be used as reference reading for courses in NLP and machine translation. Anoop Kunchukuttan is a Senior Applied Researcher at Microsoft India. His research spans various areas on multilingual and low-resource NLP. Pushpak Bhattacharyya is a Professor at the Department of Computer Science, IIT Bombay. His research areas are Natural Language Processing, Machine Learning and AI (NLP-ML-AI). Prof. Bhattacharyya has published more than 350 research papers in various areas of NLP.
Download or read book Software Literacy written by Elaine Khoo and published by Springer. This book was released on 2017-11-24 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the notion of software literacy, a key part of digital literacy which all contemporary students and citizens need to understand. Software literacy involves a critical understanding of how the affordances and conceptual approaches of everything from operating systems, creative apps and media editors, to software-based platforms and infrastructures work to inform and shape the ways we think and act. As a cultural artefact, programing code plays a role in reproducing, reinforcing, and augmenting existing cultural practices, as well as generating completely new coded practices. A proposed three-tier framework for software literacy is the focus for a two-year empirical investigation into how tertiary students become more literate about the nature and implications of software they encounter as part of their tertiary studies. Two case studies of software learning and use in university-level engineering and screen & media studies courses are presented, investigating the mapping of students’ trajectory of the learning of desktop applications against this framework for software literacy. Though the book’s focus is primarily educational, its content also has implications for any field that makes use of software and information & communication technology systems and applications. As such, the book will be of interest to all readers whose work involves the challenges and opportunities presented by software-based teaching and learning; and to those interested in how software impacts the workplace and leisure activities that make up our day-to-day lives.
