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MIT Press Essential Knowledge Machine Translation, (Paperback)
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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 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.
| Publication date | September, 2017 |
| Author | Thierry Poibeau |
| Book format | Paperback |
| Genre | Computing & Internet |
| Pages | 296 |
| Age group | Adult |
| Binding type | Perfect Binding |
| Series title | MIT Press Essential Knowledge |
| Fiction/nonfiction | Non-Fiction |
| Publisher | MIT Press |
| Reading level | General, 18 |
| Subgenre | Artificial Intelligence |
| Original languages | English |
| Edu focus | Languages |
| Recording time | 0 min |
| Is collectible | N |
| Bisac subject heading | Computers |
| Edition | 1 |
| Language | English |
| Pub date | 2017-09-15 |
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
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Students in Linguistics
Ideal for students studying linguistics or computational linguistics, providing essential insights into machine translation concepts.
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Industry Professionals
Beneficial for translators and localization specialists looking to understand how machine translation affects their work.
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Researchers in AI
Useful for researchers focusing on artificial intelligence, offering foundational knowledge on machine translation algorithms and technologies.
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General Readers
Not designed for casual readers with no background in linguistics or machine translation; may be overly technical.
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Thierry Poibeau All Books Editorial Review
MIT Press Essential Knowledge Machine Translation, (Paperback) offers an insightful exploration into the world of computing and artificial intelligence. This non-fiction book, released in September 2017, covers 296 pages and is designed for a general reading level. As part of the MIT Press Essential Knowledge series, it delves into the complexities of machine translation, making it a valuable resource for anyone interested in languages and technology. The compact size and perfect binding enhance its accessibility, making it easy to handle and read. Readers appreciate the concise yet comprehensive coverage of topics, making it suitable for both beginners and those with prior knowledge in the field.
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Pros
- Compact and portable size for easy reading
- Concise coverage on machine translation
- Part of a reputable MIT Press series
- Suitable for general readers and enthusiasts
- Perfect binding for durability
Cons
- Some readers may seek more in-depth analysis
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