How to train your multi bottom-up tree transducer

Andreas Maletti
Universität Stuttgart, Germany


Abstract

The local multi bottom-up tree transducer is introduced and related to the (non-contiguous) synchronous tree sequence substitution grammar. It is then shown how to obtain a weighted local multi bottom-up tree transducer from a bilingual and biparsed corpus.

Finally, the problem of non-preservation of regularity is addressed. Three properties that ensure preservation are introduced, and it is discussed how to adjust the rule extraction process such that they are automatically fulfilled.




Full paper: http://www.aclweb.org/anthology/P/P11/P11-1083.pdf