Recent Advances In Example Based Machine Translation
Download Recent Advances In Example Based Machine Translation PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Recent Advances In Example Based Machine Translation book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Recent Advances in Example-Based Machine Translation
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.
Recent Advances in Example-Based Machine Translation
Author: M. Carl
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
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.
Routledge Encyclopedia of Translation Technology
Routledge Encyclopedia of Translation Technology, second edition, provides a state-of-the-art survey of the field of computer-assisted translation. It is the first definitive reference to provide a comprehensive overview of the general, regional, and topical aspects of this increasingly significant area of study. The Encyclopedia is divided into three parts: Part 1 presents general issues in translation technology, such as its history and development, translator training, and various aspects of machine translation, including a valuable case study of its teaching at a major university; Part 2 discusses national and regional developments in translation technology, offering contributions covering the crucial territories of China, Canada, France, Hong Kong, Japan, South Africa, Taiwan, the Netherlands and Belgium, the United Kingdom, and the United States; Part 3 evaluates specific matters in translation technology, with entries focused on subjects such as alignment, concordancing, localization, online translation, and translation memory. The new edition has five additional chapters, with many chapters updated and revised, drawing on the expertise of over 50 contributors from around the world and an international panel of consultant editors to provide a selection of chapters on the most pertinent topics in the discipline. All the chapters are self-contained, extensively cross-referenced, and include useful and up-to-date references and information for further reading. It will be an invaluable reference work for anyone with a professional or academic interest in the subject.