machine translation in artificial intelligence

This comprehensive handbook, written by leading experts in the field, details the groundbreaking research conducted under the breakthrough GALE program--The Global Autonomous Language Exploitation within the Defense Advanced Research ... This book is the first volume that focuses on the specific challenges of machine translation with Arabic either as source or target language. Found insideThis 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. This unique book provides a comprehensive introduction to the most popular syntax-based statistical machine translation models, filling a gap in the current literature for researchers and developers in human language technologies. 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. This volume contains contributions by or about the major MT pioneers from the United States, Russia, East and West Europe, and Japan, with recollections of personal experiences, colleagues and rivals, the political and institutional ... 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 ... Found inside – Page iPurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. Most of the entries in this preeminent work include useful literature references. How Machine Learning can improve machine translation: enabling technologies and new statistical techniques. The paper describes a system of semantic analysis and generation, programmed in LISP 1.5 and designed to pass from paragraph length input in English to French via an interlingual representation. Found insideAfter more than 400 single publications, this book gives the first comprehensive overview of the results of this unique and seminal project in human language technology. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence ... This first textbook on statistical machine translation shows students and developers how to build an automatic language translation system. While the studies contained in this volume draw from a wide variety of objectives and methods, and various areas of overlaps between CL, TS and MT are addressed, the volume is by no means exhaustive with regard to this topic. This volume focuses on natural language processing, artificial intelligence, and allied areas. One of the main topics of the book is the comparison between the human and machine translation process, including information on translation theories and models of translation. These are illustrated by so-called Think-Aloud Protocols. Found insideThis is the first textbook of machine translation, providing a full course on both general machine translation systems characteristics and the computational linguistic foundations of the field. The concept combines a context-free rewriting with a comparatively large generative power. The volume includes a foreword by H. Ehrig. Found insideUsing clear explanations, standard Python libraries and step-by-step tutorial lessons you will discover what natural language processing is, the promise of deep learning in the field, how to clean and prepare text data for modeling, and how ... The primary objective of the book is to review the current state of the art of the most relevant artificial intelligence techniques applied to the different issues that arise in the smart grid development. 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. 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 ... Project Report from the year 2006 in the subject English Language and Literature Studies - Other, grade: 1,3, University of Frankfurt (Main) (Institut für England und Amerikastudien), course: Translation and Intercultural Communication, 26 ... This book is about machine translation (MT) and the classic problems associated with this language technology. This book constitutes the proceedings of the Third Conference of the Association for Machine Translation in the Americas, AMTA'98, held in Langhorne, PA, USA, in November 1998. Found insideThis book is packed with some of the smartest trending examples with which you will learn the fundamentals of AI. By the end, you will have acquired the basics of AI by practically applying the examples in this book. Found insideThis book includes 9 projects on building smart and practical AI-based systems. Found insideThis book reviews ways to improve statistical machine speech translation between Polish and English. This book presents four approaches to jointly training bidirectional neural machine translation (NMT) models. Found insideThe key assumption in this text is that machine translation is not merely a mechanical process but in fact requires a high level of linguistic sophistication, as the nuances of syntax, semantics and intonation cannot always be conveyed by ... Found insideThis book provides an overview of how comparable corpora can be used to overcome the lack of parallel resources when building machine translation systems for under-resourced languages and domains. This book is written in the context of the Machine Translation (MT) project EUROTRA, a multi-lingual MT-project putting special emphasis on the definition of semantic representation. The Routledge Encyclopedia of Translation Technology provides a state-of-the art survey of the field of computer-assisted translation. Found insideThis book presents the outcomes of the 2020 International Conference on Cyber Security Intelligence and Analytics (CSIA 2020), an international conference dedicated to promoting novel theoretical and applied research advances in the ... This comprehensive handbook, written by leading experts in the field, details the groundbreaking research conducted under the breakthrough GALE program--The Global Autonomous Language Exploitation within the Defense Advanced Research ... It is thus difficult for researchers in the field to learn what a system "really does". This book fills that need with a detailed case study of a KBMT system implemented at the Center for Machine Translation at Carnegie Mellon University. Found insideLearn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research. Found insideThe trouble with translation -- A quick overview of the evolution of machine translation -- Before the advent of computers -- The beginnings of machine translation : the first rule-based systems -- The ALPAC report (1966) and its ... Found insideWith a foreword by Dr Henry Liu, the 13th International Federation of Translators (FIT) President, and written by consultant interpreter and researcher Jonathan Downie, this book offers a unique combination of research and practical insight ... It's in this book. Wondering what role translators play in coining new words in specific languages? That's in this book, too. This compendium of Jost's writings is a great read for language professionals of all flavors! Found insideChiew Kin Quah draws on years of academic and professional experience to provide an account of translation technology, its applications and capabilities. This book constitutes the refereed proceedings of the 5th Conference of the Association for Machine Translation in the Americas, AMTA 2002, held in Tiburon, CA, USA, in October 2002. 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