| 書目名稱 | Translation, Brains and the Computer | | 副標題 | A Neurolinguistic So | | 編輯 | Bernard Scott | | 視頻video | http://file.papertrans.cn/929/928896/928896.mp4 | | 概述 | 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 complex | | 叢書名稱 | Machine Translation: Technologies and Applications | | 圖書封面 |  | | 描述 | .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 | | 出版日期 | Book 2018 | | 關鍵詞 | Computer science with interest in NLP; Foreign language departments; Language and the brain; Semantic p | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-76629-4 | | isbn_softcover | 978-3-030-09538-3 | | isbn_ebook | 978-3-319-76629-4Series ISSN 2522-8021 Series E-ISSN 2522-803X | | issn_series | 2522-8021 | | copyright | Springer International Publishing AG, part of Springer Nature 2018 |
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