Is machine interpreting interpreting
Datos Bibliográficos
| ID | 22024809 |
|---|---|
| Autores | Franz Pöchhacker (0000-0002-8618-4060, University of Vienna, autor de correspondencia) |
| Año | 2024 |
| Fecha de publicación | 2024-05-21 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Translation Spaces (JOURNAL) |
| Identificadores de la revista | ISSN: 2211-3711 • E-ISSN: 2211-372X |
| Editorial | John Benjamins Publishing Company (PUBLISHER • NL) |
| DOI | 10.1075/ts.23028.poc |
| OpenAlex | W4398163524 |
| Idioma | EN |
| Citas recibidas | 6 |
| Referencias citadas | 40 |
This article first considers the question whether machine translation is translation and moves on to address the analogous issue for interpreting. After a review of the development and state of the art in machine interpreting, more commonly referred to as ‘spoken language translation’ or ‘speech translation’, the question of whether machine interpreting is interpreting is discussed – first with regard to terminology and conceptual distinctions and then in broader translation-theoretical frameworks. Using Otto Kade’s early definitional proposal as a point of departure, a reconceptualization is proposed in the form of a three-dimensional model designed to go beyond rigid taxonomies. The dimensions of agency, embodiment and immediacy are used to characterize translation as a graded concept in which these features may be more or less prominent
Computer Science · Interpreting and Communication in Healthcare · Natural Language Processing Techniques · Translation Studies and Practices
Supersizing the Mind
Descriptive Translation Studies – and beyond
Automatic speech recognition in the booth
Translation as a metaphoric traveller across disciplines
Routledge Encyclopedia of Translation Studies
Machine interpretation of bilingual dialogue
Machine interpretation
From Operation to Action
Translated! Papers on Literary Translation and Translation Studies
Embodied participation
| Obras citantes distintas | 6 |
|---|---|
| Citas por año | 3 |
| Intervalo de citas | 2024 - 2026 (3) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 6 |