Muneer H Alqahtani
Biographic Data
| ID | 9755660 |
|---|---|
| NAME | Muneer H Alqahtani |
| GIVEN NAMES | Muneer H |
| FAMILY NAME | Alqahtani |
| SIGNATURE | ALQAHTANI M H |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
AI Tools and Saudi University English Translation Students
The study aims to explore the acceptance and utilization of AI tools in translation courses by English language learners in Saudi Arabia using the Technology Acceptance Model (TAM) to enhance their professional translation skills. For data collection purpose, the study employed a mixed-methods design, combining a survey of 114 bachelor's and master's translation students with in-depth interviews of 10 participants. This approach explored students…
MTPEAS in the Translation Classroom
The growing use of machine translation (MT) for both academic and professional translation purposes requires uniformly accepted frameworks for post-edited outputs to be assessed. The current research investigates the application of the Machine Translation Post-Editing Annotation System (MTPEAS) in pedagogy for translation, suggesting a systematic taxonomy for determining the quality of students' post-edited work. In particular, the study seeks to…
No prominent works on this page.
AI Tools and Saudi University English Translation Students
The study aims to explore the acceptance and utilization of AI tools in translation courses by English language learners in Saudi Arabia using the Technology Acceptance Model (TAM) to enhance their professional translation skills. For data collection purpose, the study employed a mixed-methods design, combining a survey of 114 bachelor's and master's translation students with in-depth interviews of 10 participants. This approach explored students…
MTPEAS in the Translation Classroom
The growing use of machine translation (MT) for both academic and professional translation purposes requires uniformly accepted frameworks for post-edited outputs to be assessed. The current research investigates the application of the Machine Translation Post-Editing Annotation System (MTPEAS) in pedagogy for translation, suggesting a systematic taxonomy for determining the quality of students' post-edited work. In particular, the study seeks to…
Annotation (1 work) · Curriculum (1 work) · Data collection (1 work) · E-Learning and COVID-19 (1 work) · English language (1 work) · Foreign language (1 work) · Formative assessment (1 work) · Higher education (1 work) · Literacy (1 work) · Natural Language Processing Techniques (1 work)