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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Translation, Brains and the Computer
• Podnázev: A Neurolinguistic Solution to Ambiguity and Complexity in Machine Translation
• Autor: Bernard Scott
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 241
• EAN: 9783319766287
• ISBN: 3319766287
• ID: 18906523
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 559 g
• Rozměry: 235 × 155 × 19 mm
• Datum vydání: 15. June 2018

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