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Translation, Brains and the Computer

A Neurolinguistic Solution to Ambiguity and Complexity in Machine Translation

  • Bernard Scott

Part of the Machine Translation: Technologies and Applications book series (MATRA, volume 2)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Part I

    1. Front Matter
      Pages 1-1
    2. Bernard Scott
      Pages 3-11
    3. Bernard Scott
      Pages 13-39
    4. Bernard Scott
      Pages 127-162
    5. Bernard Scott
      Pages 163-171
    6. Bernard Scott
      Pages 173-202
  3. Part II

    1. Front Matter
      Pages 203-203
    2. Bernard Scott
      Pages 205-241

About this book

Introduction

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.

Keywords

Computer science with interest in NLP Foreign language departments Language and the brain Semantic processing Semantico-syntactic representation Neural machine translation NMT language acquisition and translation natural language representation

Authors and affiliations

  • Bernard Scott
    • 1
  1. 1.Tarpon SpringsUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-76629-4
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-76628-7
  • Online ISBN 978-3-319-76629-4
  • Series Print ISSN 2522-8021
  • Series Online ISSN 2522-803X
  • Buy this book on publisher's site
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