
This article reports on an exploratory study conducted on applied languages undergraduate students’ use of machine translation. Starting from the observation that they make extensive use of free tools available online, our aim was to understand whether they are capable of identifying and correcting machine translation errors, and if so, to what extent.
Translation teaching, Competències en TA, appllied languages teaching, (neural) machine translation, applied languages teaching, MT literacy, Enseñanza de traducción, Traducció automàtica (neuronal), (Neural) Machine translation, Applied languages teaching, Ensenyament de llengües aplicades, Aprenentatge de llengües, P306-310, Traducción automática, translation teaching, Translating and interpreting, Enseñanza de lenguas aplicadas, Traducción automática (neuronal), Language acquisition, [SHS.LANGUE] Humanities and Social Sciences/Linguistics, neural machine translation, Ensenyament de traducció, language acquisition, Competencias en TA, Aprendizaje de lenguas
Translation teaching, Competències en TA, appllied languages teaching, (neural) machine translation, applied languages teaching, MT literacy, Enseñanza de traducción, Traducció automàtica (neuronal), (Neural) Machine translation, Applied languages teaching, Ensenyament de llengües aplicades, Aprenentatge de llengües, P306-310, Traducción automática, translation teaching, Translating and interpreting, Enseñanza de lenguas aplicadas, Traducción automática (neuronal), Language acquisition, [SHS.LANGUE] Humanities and Social Sciences/Linguistics, neural machine translation, Ensenyament de traducció, language acquisition, Competencias en TA, Aprendizaje de lenguas
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
