Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| College Students | 2 |
| Comparative Analysis | 2 |
| Employment Potential | 2 |
| Foreign Countries | 2 |
| Language Processing | 2 |
| Second Languages | 2 |
| Student Attitudes | 2 |
| Task Analysis | 2 |
| Teaching Methods | 2 |
| Translation | 2 |
| Administrator Role | 1 |
| More ▼ | |
Source
| Interpreter and Translator… | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
| Finland | 1 |
| Ireland (Dublin) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Konttinen, Kalle; Veivo, Outi; Salo, Pia – Interpreter and Translator Trainer, 2020
Translation graduates need organisational skills to be able to cooperate in translation service production workflows. This paper explores the development of translation students' workflow conceptions in a simulated translation company learning environment. Using the standard ISO 17100 as a frame of reference for a content analysis of student…
Descriptors: Translation, Work Environment, Teaching Methods, Language Processing
What to Expect from Neural Machine Translation: A Practical In-Class Translation Evaluation Exercise
Moorkens, Joss – Interpreter and Translator Trainer, 2018
Machine translation is currently undergoing a paradigm shift from statistical to neural network models. Neural machine translation (NMT) is difficult to conceptualise for translation students, especially without context. This article describes a short in-class evaluation exercise to compare statistical and neural MT, including details of student…
Descriptors: Translation, Teaching Methods, Computational Linguistics, Quality Assurance

Peer reviewed
Direct link
