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The International Journal of Localisation




Localisation Focus–The International Journal of Localisation provides a forum for localisation professionals and researchers to discuss and present their localisation-related work, covering all aspects of this multi-disciplinary field, including software engineering and HCI, tools and technology development, cultural aspects, translation studies, human language technologies (including machine and machine assisted translation), project management, workflow and process automation, education and training, and details of new developments in the localisation industry. Proposed contributions are peer-reviewed thereby ensuring a high standard of published material. Localisation Focus–The International Journal of Localisation is distributed worldwide to libraries and localisation professionals, including engineers, managers, trainers, linguists, researchers and students. Indexed on a number of databases, this journal affords contributors increased recognition for their work. Localisation-related articles, book reviews, perspectives, insights and correspondence are all welcome.

A Comparison of Statistical Post-editing on Chinese and Japanese

Volume 7 Issue 1
(2008)

 

Authors: Midori Tatsumi, Yanli Sun

Abstract:

This paper analyses both quantitatively and qualitatively the results of a recent Statistical Post-editing (SPE) experiment on English to Chinese and English to Japanese translations. Quantitatively, it compares the number of changes resulting from SPE between the two languages; qualitatively, a linguistic analysis of the changes is conducted. It also investigates the effect of SPE on the fluency and adequacy of the translation as well as the potential impact on human post-editing effort. Our study indicates that, in general SPE results in more improvements than degradations in both languages although the linguistic changes are different between the two languages. In addition, SPE could improve the fluency and adequacy of MT outputs and shorten human post-editing time in both languages.

Keywords: Statistical Post-Editing, RBMT, SMT, Chinese, Japanese

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