Machine Learning in Translation

Machine Learning in Translation explores the intersection of human and machine learning in translation, highlighting the role of data and empowering translators with ML knowledge to enhance their workflows and design human-centered ML-driven translation processes.

Format: Hardback
Length: 206 pages
Publication date: 12 April 2023
Publisher: Taylor & Francis Ltd

Machine Learning in Translation delves into the realm of machine learning (ML) and its profound implications for translation processes, approaching the topic from a human-centric perspective. It emphasizes that ML and ML-driven technologies serve as valuable tools for humans, enabling them to enhance their translation capabilities. By exploring the common ground between human and machine learning, the book aims to help linguists, translators, and localizers uncover their unique value in a ML-driven translation environment.

In Part One, the book delves into how humans and machines approach the challenges of translation. It examines word embeddings, chunking of larger meaning units, and prediction in translation based on broader contextual information. This section sheds light on the distinct approaches taken by humans and machines in the translation process.

Part Two introduces key tasks and applications of ML in translation. It covers machine translation, translation quality assessment, and quality estimation, among other Natural Language Processing (NLP) tasks. The book provides a comprehensive overview of these tasks and their significance in the translation industry.

Part Three focuses on the role of data in both human and machine learning processes. It argues that translators possess a unique value in creating, managing, and leveraging language data for various ML tasks within the translation process. It outlines the necessary knowledge and skills that translators need to acquire to thrive in the machine learning era.

The book concludes with a discussion of human-centered machine learning in translation. It emphasizes the importance of empowering translators with ML knowledge through communication with ML users, developers, and programmers. It also highlights opportunities for continuous learning and skill development to stay abreast of the evolving ML landscape.

Designed with accessibility in mind, Machine Learning in Translation is an invaluable guide for current and aspiring users of ML technologies in localization workflows. It serves as a comprehensive resource for students enrolled in courses related to translation, localization, language technology, and other related fields. By embracing the power of ML, translators and localizers can unlock new avenues for enhancing translation quality, efficiency, and accuracy.

Weight: 446g
Dimension: 161 x 241 x 18 (mm)
ISBN-13: 9781032343228