Translation, Brains and the Computer
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A Neurolinguistic Solution to Ambiguity and Complexity in Machine Translation, Machine Translation: Technologies and Applications 2
| ISBN: |
3319766287 |
| ISBN 13: |
9783319766287 |
| Autor: |
Scott, Bernard |
| Verlag: |
Springer Verlag GmbH |
| Umfang: |
xvi, 241 S., 55 s/w Illustr., 241 p. 55 illus. |
| Erscheinungsdatum: |
15.06.2018 |
| Auflage: |
1/2018 |
| Produktform: |
Gebunden/Hardback |
| Einband: |
Gebunden |
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.
