Translation, Brains and the Computer
A Neurolinguistic Solution to Ambiguity and Complexity in Machine Translation
Authors: Scott, Bernard
Free Preview- Addresses fundamental issues to solve the classic problems with machine translation
- Recounts the little known background of early events affecting the history of machine translation
- Identifies complexity as principal reason why machine translation has had limited success
- Illustrates problems of ambiguity and complexity in various present-day machine translation models, rule-based (RBMT), statistical (SMT) and neural MT (NMT)
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- About this book
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This book is about machine translation (MT) and the classic problems associated with this language technology. It examines the causes of these problems and, for linguistic, rule-based systems, attributes the cause to language’s ambiguity and complexity and their interplay in logic-driven processes. For non-linguistic, data-driven systems, the book attributes translation shortcomings to the very lack of linguistics. It then proposes a demonstrable way to relieve these drawbacks in the shape of a working translation model (Logos Model) that has taken its inspiration from key assumptions about psycholinguistic and neurolinguistic function. The book suggests that this brain-based mechanism is effective precisely because it bridges both linguistically driven and data-driven methodologies. It shows how simulation of this cerebral mechanism has freed this one MT model from the all-important, classic problem of complexity when coping with the ambiguities of language. Logos Model accomplishes this by a data-driven process that does not sacrifice linguistic knowledge, but that, like the brain, integrates linguistics within a data-driven process. As a consequence, the book suggests that the brain-like mechanism embedded in this model has the potential to contribute to further advances in machine translation in all its technological instantiations.
- Reviews
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“Natural language processing is one of the most rapidly evolving areas of artificial intelligence, and is the subject of this excellent book. … One of the important contributions of this valuable resource is its presentation and comparison of many current state-of-the-art machine translation systems available to the general public. Summing Up: Recommended. Advanced undergraduates through faculty and professionals.” (J. Brzezinski, Choice, Vol. 56 (6), February, 2019)
- Table of contents (9 chapters)
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Introduction
Pages 3-11
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Background
Pages 13-39
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Language and Ambiguity: Psycholinguistic Perspectives
Pages 41-63
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Language and Complexity: Neurolinguistic Perspectives
Pages 65-98
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Syntax and Semantics: Dichotomy Versus Integration
Pages 99-125
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Table of contents (9 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Translation, Brains and the Computer
- Book Subtitle
- A Neurolinguistic Solution to Ambiguity and Complexity in Machine Translation
- Authors
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- Bernard Scott
- Series Title
- Machine Translation: Technologies and Applications
- Series Volume
- 2
- Copyright
- 2018
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG, part of Springer Nature
- eBook ISBN
- 978-3-319-76629-4
- DOI
- 10.1007/978-3-319-76629-4
- Hardcover ISBN
- 978-3-319-76628-7
- Softcover ISBN
- 978-3-030-09538-3
- Series ISSN
- 2522-8021
- Edition Number
- 1
- Number of Pages
- XVI, 241
- Number of Illustrations
- 55 b/w illustrations
- Topics
