Machine translation of English speech: Comparison of multiple algorithms
Author:
Affiliation:
1. Department of Foreign Languages, Xi’an Jiaotong University City College , Xi’an , Shaanxi 710018 , China
2. School of Electrical Engineering, Southwest Jiaotong University , Chengdu , Sichuan 610031 , China
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Artificial Intelligence,Information Systems,Software
Link
https://www.degruyter.com/document/doi/10.1515/jisys-2022-0005/pdf
Reference15 articles.
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3. Herbig N, Pal S, Vela M, Krüger A, van Genabith J. Multi-modal indicators for estimating perceived cognitive load in post-editing of machine translation. Mach Transl. 2019;33(1–2):91–115.
4. Ashengo YA, Aga RT, Abebe SL. Context based machine translation with recurrent neural network for English–Amharic translation. Mach Transl. 2021;35:19–36.
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