Description
Efnisyfirlit
- Cover
- Front Matter
- Introduction
- Part I. Scenarios for Translation Quality Assessment
- Approaches to Human and Machine Translation Quality Assessment
- Translation Quality, Quality Management and Agency: Principles and Practice in the European Union Institutions
- Crowdsourcing and Translation Quality: Novel Approaches in the Language Industry and Translation Studies
- On Education and Training in Translation Quality Assessment
- Part II. Developing Applications of Translation Quality Assessment
- Metrics for Translation Quality Assessment: A Case for Standardising Error Typologies
- Error Classification and Analysis for Machine Translation Quality Assessment
- Quality Expectations of Machine Translation
- Assessing Quality in Human- and Machine-Generated Subtitles and Captions
- Part III. Translation Quality Assessment in Practice
- Machine Translation Quality Estimation: Applications and Future Perspectives
- Machine Translation and Self-post-editing for Academic Writing Support: Quality Explorations
- What Level of Quality Can Neural Machine Translation Attain on Literary Text?
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