Example-Based Machine Translation

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)12_Chapter in an edited book (Author)

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationThe Routledge Encyclopedia of Translation Technology
EditorsChan Sin-Wai
PublisherRoutledge
Pages137-151
Edition1st
ISBN (Electronic)9781315749129, 9781317608158
ISBN (Print) 9780415524841
Publication statusPublished - 2015

Abstract

Machine translation (MT) is the mechanization and automation of the process of translating from one natural language into another. Translation is a task which needs to tackle the ‘semantic barriers’ between languages using real world encyclopedic knowledge, and requires a full understanding of natural language. Accordingly different approaches have been proposed for addressing the challenges involved in automating this task. At present the major approaches include rule-based machine translation (RBMT) which heavily relies on linguistic analysis and representation at various linguistic levels, and example-based machine translation (EBMT) and statistical machine translation (SMT), both of which follow a more general corpus-based approach and make use of parallel corpora as a primary resource.

Citation Format(s)

Example-Based Machine Translation. / Billy Wong Tak-Ming, ; Webster, Jonathan J.

The Routledge Encyclopedia of Translation Technology. ed. / Chan Sin-Wai . 1st. ed. Routledge, 2015. p. 137-151.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)12_Chapter in an edited book (Author)