Anzeige
Erschienen in:
2014 | OriginalPaper | Buchkapitel
A Novel Rule Refinement Method for SMT through Simulated Post-Editing
verfasst von : Sitong Yang, Heng Yu, Qun Liu
Erschienen in: Natural Language Processing and Chinese Computing
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Post-editing has been successfully applied to correct the output of MT systems to generate better translation, but as a downstream task its positive feedback to MT has not been well studied. In this paper, we present a novel rule refinement method which uses Simulated Post-Editing (SiPE) to capture the errors made by the MT systems and generates refined translation rules. Our method is system-independent and doesn’t entail any additional resources. Experimental results on large-scale data show a significant improvement over both phrase-based and syntax-based baselines.