The book is written with a diverse audience in mind. Earlier chapters assume little or no knowledge of translation, machine translation or machine learning. Later chapters are more advanced. Some chapters focus on activities typically carried out by translators, others specifically target language learners. Reviewers are invited to comment on the chapters that are of greatest interest to them. The chapters are as follows:
- Chapter 0 Introduction
- Chapter 1 Multilingualism and Machine Translation
- Chapter 2 Introduction to Machine Translation
- Chapter 3 How to choose a suitable NMT solution? Evaluation of MT quality
- Chapter 4 Selecting and preparing texts for NMT: pre-editing and writing for a global audience
- Chapter 5 How to deal with Machine Translation mistakes: Post-editing
- Chapter 6 Ethics and MT
- Chapter 7 How Neural Machine Translation works
- Chapter 8 Custom Neural Machine Translation
- Chapter 9 Machine Translation for Language Learners
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