Can I read Machine Learning in Translation on EtoBox?

Machine Learning in Translation by PENG. SAWYER WANG (DAVID.); David B Sawyer is a nonfiction available to read on EtoBox.

What is Machine Learning in Translation about?

"Machine 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 data in both human and machine learning processes. It proposes that a translator's unique value lies in the capability to create, manage, and leverage language data in different ML tasks in the translation process.

Who reads Machine Learning in Translation?

Author

PENG. SAWYER WANG (DAVID.); David B Sawyer

Publisher

Routledge, Chapman & Hall, Incorporated

Published

2023

Language

EN

ISBN

9781003321538

Category

nonfiction

Subjects

Science, Linguistics, Language Learning