Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 6 |
Descriptor
Source
Interpreter and Translator… | 6 |
Author
Cristina A. Huertas-Abril | 1 |
He, Yan | 1 |
Loboda, Krzysztof | 1 |
Marie-Aude Lefer | 1 |
María-Elena Gómez-Parra | 1 |
Mastela, Olga | 1 |
Moorkens, Joss | 1 |
Rocío Márquez Garrido | 1 |
Sabrina Girletti | 1 |
Tao, Youlan | 1 |
Yuan, Rongjie | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Research | 4 |
Reports - Descriptive | 2 |
Tests/Questionnaires | 2 |
Education Level
Higher Education | 5 |
Postsecondary Education | 5 |
Audience
Location
China | 1 |
Europe | 1 |
Ireland (Dublin) | 1 |
Spain | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Sabrina Girletti; Marie-Aude Lefer – Interpreter and Translator Trainer, 2024
In recent years, machine translation post-editing (MTPE or PE for short) has been steadily gaining ground in the language industry. However, studies that examine translators' perceptions of, and attitudes towards, MTPE paint a somewhat negative picture, with PE pricing methods and rates being a major source of dissatisfaction. While the European…
Descriptors: Translation, Teaching Methods, Language Processing, Second Language Instruction
Loboda, Krzysztof; Mastela, Olga – Interpreter and Translator Trainer, 2023
Mass adoption of neural machine translation (NMT) tools in the translation workflow has exerted a significant impact on the language services industry over the last decade. There are claims that with the advent of NMT, automated translation has reached human parity for translating news (see, e.g. Popel et al. 2020). Moreover, some machine…
Descriptors: Computer Software, Computational Linguistics, Polish, Folk Culture
Rocío Márquez Garrido; María-Elena Gómez-Parra; Cristina A. Huertas-Abril – Interpreter and Translator Trainer, 2024
In a global context increasingly prone to e-learning formats at all levels of education, especially in and after the context of the COVID-19 pandemic, the acquisition of skills in distance learning programmes should not differ from the ones in onsite learning programmes. The main objective of this study is to analyse the perception that master's…
Descriptors: Translation, Distance Education, Masters Programs, Program Evaluation
Yuan, Rongjie – Interpreter and Translator Trainer, 2022
Material development is important for training beginner student interpreters, as it guides the direction of interpreting learning. One key principle is difficulty progression, which requires a good knowledge of the indicators of difficulty. Since text structure outweighs words and sentences in the information processing of consecutive…
Descriptors: Translation, Oral Language, Language Processing, Memory
He, Yan; Tao, Youlan – Interpreter and Translator Trainer, 2022
Though students are taught translation technology, when confronted with real-life translation tasks, they frequently fail to use technologies flexibly and properly. To address this issue, this study first highlighted the concept of translation technological thinking competence (TTTC) and its significance. Then it proposed the Knowing-Acting…
Descriptors: Translation, Thinking Skills, Technological Literacy, Teaching Methods
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