Paper: How to train your multi bottom-up tree transducer

ACL ID P11-1083
Title How to train your multi bottom-up tree transducer
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

The local multi bottom-up tree transducer is introduced and related to the (non-contiguous) synchronous tree sequence substitution gram- mar. 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 regular- ity 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.