Title
Machine Translation (The MIT Press Essential Knowledge series),Used
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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 toolscomputer 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 predigital beginnings, rulebased approaches, the 1966 ALPAC (Automatic Language Processing Advisory Committee) report and its consequences, the advent of parallel corpora, the examplebased paradigm, the statistical paradigm, the segmentbased 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.
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To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of 'Machine Translation' by Thierry Poibeau? A: The book provides a concise, nontechnical overview of the development of machine translation, covering different approaches, evaluation issues, and major players in the industry.
- Q: Who is the author of 'Machine Translation'? A: The author of 'Machine Translation' is Thierry Poibeau.
- Q: What is the publication date of this book? A: The book was published on September 15, 2017.
- Q: How many pages does 'Machine Translation' have? A: The book contains 296 pages.
- Q: What type of binding does 'Machine Translation' have? A: This book is available in paperback binding.
- Q: Is 'Machine Translation' suitable for beginners? A: Yes, the book offers an intuitive and nontechnical overview, making it suitable for readers without a background in the subject.
- Q: What key topics are covered in 'Machine Translation'? A: Key topics include the history of machine translation, various approaches like rule-based and statistical methods, evaluation challenges, and insights into major industry players.
- Q: Does the book discuss modern approaches to machine translation? A: Yes, it discusses contemporary methods, including those based on deep learning.
- Q: Can I find information on the commercial status of machine translation in this book? A: Yes, the book includes a discussion on the commercial status of machine translation and activities by major players such as Google and Systran.
- Q: Is there any mathematical content in 'Machine Translation'? A: The book is designed to be nontechnical, presenting concepts in an intuitive manner without requiring knowledge of mathematical details.