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This article describes the combination of a SYSTRAN system with a " statistical post-editing " (SPE) system. We document qualitative analysis on two experiments performed in the shared task of the ACL 2007 Workshop on Statistical Machine Translation. Comparative results and more integrated " hybrid " techniques are discussed .
This paper describes SYSTRAN submissions for the shared task of the third Workshop on Statistical Machine Translation at ACL. Our main contribution consists in a French-English statistical model trained without the use of any human-translated parallel corpus. In substitution , we translated a monolingual corpus with SYSTRAN rule-based translation engine to… (More)
We describe here the two Systran/University of Edinburgh submissions for WMT2009. They involve a statistical post-editing model with a particular handling of named entities (English to French and German to English) and the extraction of phrasal rules (English to French).
A translation memory system attempts to retrieve useful suggestions from previous translations to assist a translator in a new translation task. While assisting the translator with a specific segment, some similarity metric is usually employed to select the best matches from previously translated segments to present to a translator. Automated methods for… (More)