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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 2 of 2 1 Can Automatic Post-Editing Make MT More Meaningful? McKeown, Kathleen; Parton, Kristen; Habash, Nizar Y.; Iglesias, Gonzalo; de Gispert, Adria. - 2012 Abstract: Automatic post-editors (APEs) enable the re-use of black box machine translation (MT) systems for a variety of tasks where different aspects of translation are important. In this paper, we describe APEs that target adequacy errors, a critical problem for tasks such as cross-lingual question-answering, and compare different approaches for post-editing: a rule-based system and a feedback approach that uses a computer in the loop to suggest improvements to the MT system. We test the APEs on two different MT systems and across two different genres. Human evaluation shows that the APEs significantly improve adequacy, regardless of approach, MT system or genre: 30-56% of the post-edited sentences have improved adequacy compared to the original MT. Keyword: Computer science; Linguistics URL: https://doi.org/10.7916/D80V8N4B BASE Hide details 2 Can Automatic Post-Editing Make MT More Meaningful? ... McKeown, Kathleen; Parton, Kristen; Habash, Nizar Y.. - : Columbia University, 2012 BASE Show details

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