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Diachronic Evaluation of Google Translate, Microsoft Translator and Sakhr in English-Arabic Translation - the UWA Profiles and Research Repository. International Journal of English Linguistics, 10(4), 43. Neural Machine Translation: Fine-Grained Evaluation of Google Translate Output for English-to-Arabic Translation. Īlkhawaja, L., Ibrahim, H., Ghnaim, F., & Awwad, S. Jordanian University Students’ Views on Emergency Online Learning during COVID-19 Online Learning Journal, 25. Jordanian University Students’ Views on Emergency Online Learning during COVID-19. Russian Journal of Linguistics, 25(1), 24–42. Covid-19 trending neologisms and word formation processes in english. The paper concludes that MT can be an effective tool, but it can never replace human translators.Īl-Salman, S., & Haider, A. It also indicates that MT might work as an aid to translate general information about COVID-19, but it is still incapable of dealing with critical information about COVID-19. Such errors inhibit the intelligibility of the translated texts. The paper reveals that Google Translate committed a set of errors: semantic, grammatical, lexical, and punctuation. Food and Drug Administration (FDA), the Foreign, Commonwealth & Development Office (FCDO), and European Centre for Disease Prevention and Control (ECDC). The study’s corpus was extracted from World Health Organization (WHO), United Nations Children’s Emergency Fund (UNICEF), U.S. The study adopted (Costa et al., 2015a) framework in analysing the output of Google Translate output service in terms of orography, grammar, lexis, and semantics. The widespread of MT system makes it worthy of scrutinizing the capacity of the most prominent MT system, Google Translate, to deal with COVID-19 texts into Arabic. MT provides real solutions that can remove borders between people and COVID-19 information. Machine Translation (MT) has the potential to provide instant translation in times of crisis.
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