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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.
Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
This is an integrated and structured set of progressive readings from translation and related disciplines, which provides a comprehensive overview of the field and how it is developing.
Designed for translators and other professional linguists, this work attempts to clarify, explain and exemplify the impact that computers have had and are having on their profession. The book concerns machine translation, computer-aided translation and the future of translation and the computer.
This book compares and contrasts the principles and practices of rule-based machine translation (RBMT), statistical machine translation (SMT), and example-based machine translation (EBMT). Presenting numerous examples, the text introduces language divergence as the fundamental challenge to machine translation, emphasizes and works out word alignment, explores IBM models of machine translation, covers the mathematics of phrase-based SMT, provides complete walk-throughs of the working of interlingua-based and transfer-based RBMT, and analyzes EBMT, showing how translation parts can be extracted and recombined to automatically translate a new input.
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.
Experimental Chinese Literature is the first theoretical account of material poetics from the dual perspectives of translation and technology. Focusing on a range of works by contemporary Chinese authors including Hsia Yü, Chen Li, and Xu Bing, Tong King Lee explores how experimental writers engage their readers in multimodal reading experiences by turning translation into a method and by exploiting various technologies. The key innovation of this book rests with its conceptualisation of translation and technology as spectrums that interact in different ways to create sensuous, embodied texts. Drawing on a broad range of fields such as literary criticism, multimodal studies, and translation, Tong King Lee advances the notion of the translational text, which features transculturality and intersemioticity in its production and reception.
Contra Instrumentalism questions the long-accepted notion that translation reproduces or transfers an invariant contained in or caused by the source text. This "instrumental" model of translation has dominated translation theory and commentary for more than two millennia, and its influence can be seen today in elite and popular cultures, in academic institutions and in publishing, in scholarly monographs and in literary journalism, in the most rarefied theoretical discourses and in the most commonly used clichés. Contra Instrumentalism aims to end the dominance of instrumentalism by showing how it grossly oversimplifies translation practice and fosters an illusion of immediate access to source texts. Lawrence Venuti asserts that all translation is an interpretive act that necessarily entails ethical responsibilities and political commitments. Venuti argues that a hermeneutic model offers a more comprehensive and incisive understanding of translation that enables an appreciation of not only the creative and scholarly aspects of what a translator does but also the crucial role translation plays in the cultural and social institutions that shape human life.