LOST IN MACHINE TRANSLATION: CONTEXTUAL LINGUISTIC UNCERTAINTY
The article considers the issues related to the semantic, grammatical, stylistic and technical difficulties currently present in machine translation and compares its four main approaches: Rule-based (RBMT), Corpora-based (CBMT), Neural (NMT), and Hybrid (HMT). It also examines some “open systems”,...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Volgograd State University
2019-12-01
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Series: | Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriâ 2. Âzykoznanie |
Subjects: | |
Online Access: | https://l.jvolsu.com/index.php/en/archive-en/591-science-journal-of-volsu-linguistics-2019-vol-18-no-4/intercultural-communication-and-comparative-studies-of-languages/1975-sukhoverkhov-a-v-dewitt-d-manasidi-i-i-nitta-k-krsti-v-lost-in-machine-translation-contextual-linguistic-uncertainty |