Machine learning in translation
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Bibliographic Information
Machine learning in translation
Routledge, 2023
- : pbk
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Content Type: text (ncrcontent), Media Type: unmediated (ncrmedia), Carrier Type: volume (ncrcarrier)
Summary on back cover: 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
Bibliography: p. [189]-202
Includes index
Contents of Works
- Human and machine approaches to translation. Convergence of two appraches to translation
- Levels of analysis
- Predicative language models
- Machine learning tasks in translation. Machine translation
- Machine translation quality assessment and quality estimation
- Intentionality and NLP tasks in translation
- Data in human and machine learning. Translator-computer interaction through language data
- Balancing machine and human learning in translation
- Impact of machine learning on translator education
- Epilogue -- Human-centered machine learning in translation
