Abstract
We apply the Stat-XFER statistical transfer machine translation framework to the task of translating from French and German into English. We introduce statistical methods within our framework that allow for the principled extraction of syntax-based transfer rules from parallel corpora given word alignments and constituency parses. Performance is evaluated on test sets from the 2007 WMT shared task.
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CITATION STYLE
Hanneman, G., Huber, E., Agarwal, A., Ambati, V., Parlikar, A., Peterson, E., & Lavie, A. (2008). Statistical transfer systems for French-English and German-English machine translation. In 3rd Workshop on Statistical Machine Translation, WMT 2008 at the Annual Meeting of the Association for Computational Linguistics, ACL 2008 (pp. 163–166). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1626394.1626418
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