Machine Learning in Translation (ePub)
Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes, approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans.
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Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes, approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans.
David B. Sawyer is Director of Language Testing at the U.S. State Department's Foreign Service Institute and a Senior Lecturer at the University of Maryland, USA. He is the author of Foundations of Interpreter Education: Curriculum and Assessment and co-editor of The Evolving Curriculum in Interpreter and Translator Education: Stakeholder Perspectives and Voices (both John Benjamins).
- Autoren: Peng Wang , David B. Sawyer
- 2023, 1. Auflage, 218 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000838684
- ISBN-13: 9781000838688
- Erscheinungsdatum: 12.04.2023
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Grösse: 2.29 MB
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