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Enabling Monolingual Translators: Post-Editing vs. Options

North American Chapter of the Association for Computational LinguisticsPublished 2 June 2010
Philipp Koehn
Citations39

TL;DR

This study carried out a study on monolingual translators with no knowledge of the source language, but aided by post-editing and the display of translation options, able to translate 35% of Arabic and 28% of Chinese sentences correctly on average.

Abstract

We carried out a study on monolingual translators with no knowledge of the source language, but aided by post-editing and the display of translation options. On Arabic-English and Chinese-English, using standard test data and current statistical machine translation systems, 10 monolingual translators were able to translate 35% of Arabic and 28% of Chinese sentences correctly on average, with some of the participants coming close to professional bilingual performance on some of the documents.

Keywords

Computer ScienceArts and Humanities