Description
Book SynopsisMachine 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.
Providing an exploration of the common ground between human and machine learning and of the nature of translation that leverages this new dimension, this book helps linguists, translators, and localizers better find their added value in a ML-driven translation environment. Part One explores how humans and machines approach the problem of translation in their own particular ways, in terms of word embeddings, chunking of larger meaning units, and prediction in translation based upon the broader context. Part Two introduces key tasks, including machine translation, translation quality assessment and quality estimation, and other Natural Language Processing (NLP) tasks in translation. Part Three focuses on the role of
Trade Review
"Machine Learning in Translation by Wang and Sawyer offers a new and important perspective on the topic by discussing machine learning concepts from a linguistic perspective. They offer an entryway to an in-depth understanding of machine learning concepts for linguists, closing a long-existing gap in literature suitable for machine learning education for this audience."
Tabea De Wille, University of Limerick, Ireland
Table of ContentsList of figures and tables
Introduction
PART I - HUMAN AND MACHINE APPROACHES TO TRANSLATION
1. Convergence of two approaches to translation
2. Levels of analysis
3. Predicative language models
PART II - MACHINE LEARNING TASKS IN TRANSLATION 4. Machine translation
5. Machine translation quality assessment and quality estimation
6. Intentionality and NLP tasks in translation
PART III - DATA IN HUMAN AND MACHINE LEARNING 7. Translation-computer interaction through language data
8. Balancing machine and human learning in translation
9. Impact of machine learning on translator education
Epilogue – Human-centered machine learning in translation
References
Index
