Read and Download eBook Full
Author: Sergei Nirenburg
Publisher: MIT Press
Published: 2003
Total Pages: 444
ISBN-13: 9780262140744
DOWNLOAD EBOOKThe 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.
Author: William Nash Locke
Publisher:
Published: 1955
Total Pages: 264
ISBN-13:
DOWNLOAD EBOOKAuthor: John Lehrberger
Publisher: John Benjamins Publishing
Published: 1988-01-01
Total Pages: 257
ISBN-13: 9027286205
DOWNLOAD EBOOKThe use of the computer in translating natural languages ranges from that of a translator's aid for word processing and dictionary lookup to that of a full-fledged translator on its own. However the obstacles to translating by means of the computer are primarily linguistic. To overcome them it is necessary to resolve the ambiguities that pervade a natural language when words and sentences are viewed in isolation. The problem then is to formalize, in the computer, these aspects of natural language understanding. The authors show how, from a linguistic point of view, one may form some idea of what goes on inside a system's black box, given only the input (original text) and the raw output (translated text before post-editing). Many examples of English/French translation are used to illustrate the principles involved.
Author: Bonnie Jean Dorr
Publisher: MIT Press
Published: 1993
Total Pages: 466
ISBN-13: 9780262041386
DOWNLOAD EBOOKThis 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.
Author: Alan K. Melby
Publisher: John Benjamins Publishing
Published: 1995
Total Pages: 301
ISBN-13: 9027216142
DOWNLOAD EBOOKThis book is about the limits of machine translation. It is widely recognized that machine translation systems do much better on domain-specific controlled-language texts (domain texts for short) than on dynamic general-language texts (general texts for short). The authors explore this general domain distinction and come to some uncommon conclusions about the nature of language. Domain language is claimed to be made possible by general language, while general language is claimed to be made possible by the ethical dimensions of relationships. Domain language is unharmed by the constraints of objectivism, while general language is suffocated by those constraints. Along the way to these conclusions, visits are made to Descartes and Saussure, to Chomsky and Lakoff, to Wittgenstein and Levinas. From these conclusions, consequences are drawn for machine translation and translator tools, for linguistic theory and translation theory. The title of the book does not question whether language is possible; it asks, with wonder and awe, why communication through language is possible.
Author: Joseph Olive
Publisher: Springer Science & Business Media
Published: 2011-03-02
Total Pages: 956
ISBN-13: 1441977139
DOWNLOAD EBOOKThis 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 Projects Agency (DARPA), while placing it in the context of previous research in the fields of natural language and signal processing, artificial intelligence and machine translation. The most fundamental contrast between GALE and its predecessor programs was its holistic integration of previously separate or sequential processes. In earlier language research programs, each of the individual processes was performed separately and sequentially: speech recognition, language recognition, transcription, translation, and content summarization. The GALE program employed a distinctly new approach by executing these processes simultaneously. Speech and language recognition algorithms now aid translation and transcription processes and vice versa. This combination of previously distinct processes has produced significant research and performance breakthroughs and has fundamentally changed the natural language processing and machine translation fields. This comprehensive handbook provides an exhaustive exploration into these latest technologies in natural language, speech and signal processing, and machine translation, providing researchers, practitioners and students with an authoritative reference on the topic.
Author: Thierry Poibeau
Publisher: MIT Press
Published: 2017-09-15
Total Pages: 298
ISBN-13: 0262534215
DOWNLOAD EBOOKA 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.
Author: Aldo Ghizzetti
Publisher:
Published: 1966
Total Pages: 236
ISBN-13:
DOWNLOAD EBOOKAuthor: Anoop Kunchukuttan
Publisher: CRC Press
Published: 2021-09-08
Total Pages: 215
ISBN-13: 1000422410
DOWNLOAD EBOOKMachine 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.
Author: William N. Locke
Publisher:
Published: 1955
Total Pages: 243
ISBN-13:
DOWNLOAD EBOOK