Description: This book explains the concept, framework, implementation, and evaluation of controlled document authoring in this age of translation technologies. Machine translation (MT) is routinely used in many situations, by companies, governments, and individuals. Despite recent advances, MT tools are still known to be imperfect, sometimes producing critical errors. To enhance the performance of MT, researchers and language practitioners have developed controlled languages that impose restrictions on the form or length of the source-language text. However, a fundamental, persisting problem is that both current MT systems and controlled languages deal only with the sentence as the unit of processing. To be effective, controlled languages must be contextualised at the document level, consequently enabling MT to generate outputs appropriate for their functional context within the target document. With a specific focus on Japanese municipal documents, this book establishes a framework for controlled document authoring by integrating various research strands including document formalisation, controlled language, and terminology management. It then presents the development and evaluation of an authoring support system, MuTUAL, that is designed to help non-professional writers create well-organised documents that are both readable and translatable. The book provides useful insights for researchers and practitioners interested in translation technology, technical writing, and natural language processing applications. Chapter 1, the Preface, and Bibliography of this book are freely available as downloadable Open Access PDFs at under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
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EAN: 9780367500191
UPC: 9780367500191
ISBN: 9780367500191
MPN: N/A
Book Title: Controlled Document Authoring in a Machine Transla
Item Length: 23.6 cm
Item Height: 234 mm
Item Width: 156 mm
Author: Rei Miyata
Publication Name: Controlled Document Authoring in a Machine Translation Age
Format: Hardcover
Language: English
Publisher: Taylor & Francis Ltd
Subject: Computer Science
Publication Year: 2020
Type: Textbook
Item Weight: 454 g
Number of Pages: 220 Pages