Buch, Englisch, 256 Seiten, Format (B × H): 156 mm x 234 mm
Multimodal Machine Translation of Chinese into English
Buch, Englisch, 256 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Routledge Studies in Translation Technology
ISBN: 978-1-032-30842-5
Verlag: Taylor & Francis Ltd
This book details the process of building a Chinese-English machine translation system that automatically translates Chinese recipes into English through machine processing without human intervention (TransRecipe). This system is able to translate recipes into pictures and videos (VisualRecipe) through image technology and develop a system that generates a recipe from a video on dish preparation (GenRecipe) through deep learning.
Recipe processing is covered in four parts across ten chapters. The first part, Translating Recipes, studies machine processing of different parts of recipes for the construction of the TransRecipe system. The second part, Visualizing Recipes, is about the creation of the VisualRecipe system through image technology and a demonstration of its operations in practice. The third part, Generating Recipes, is about recipe generation through deep learning and the creation of the GenRecipe system. Lastly, the book concludes with looking into the future of recipe technology.
A vital read for researchers and students in translation technology, multimodal translation, and techno-humanities.
Zielgruppe
Postgraduate
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Contents
List of Figures
List of Tables
Acknowledgements
Chapter 1, Introduction
Translating Recipes
Chapter 2. TransRecipe for Translating Recipes through Machine Processing
Chapter 3. Dish Names in Recipes
Chapter 4. Preparing the Food and Drink Database
Chapter 5. Translating Numerals and Measure-words
Chapter 6. Analysing Sentences by Parts of Speech
Chapter 7. Methods for Translating Recipes
Visualizing Recipes
Chapter 8. VisualRecipe for Visualizing Recipes through Image Technology
Generating Recipes
Chapter 9. GenRecipe for Generating Recipes from Videos through Deep Learning
Conclusion
Chapter 10. Recipe Technology for the Future