Publication
Hierarchical Hybrid Translation between English and German
Yu Chen; Andreas Eisele
In: Viggo Hansen; Francois Yvon (Hrsg.). Proceedings of the 14th Annual Conference of the European Association for Machine Translation. Annual Conference of the European Association for Machine Translation (EAMT-2010), May 27-28, St. Raphaël, France, Pages 90-97, EAMT, EAMT, 5/2010.
Abstract
We present new results from a hybrid combination
of rule-based machine translation
(RBMT) with a variant of statistical machine
translation (SMT) that supports hierarchical
structures and is therefore able to
preserve more of the linguistic structures
obtained from the RBMT system than versions
of SMT that operate on flat phrases
alone. Having shown in (Chen and Eisele,
2010) for the first time that a tighter integration
of hierachical MT systems from
different paradigms leads to consistent improvements
for translation from German to
English in various experimental settings,
the current paper generalizes the approach
to translation from English to German,
where we observe similar improvements.
These findings indicate that hybrid combinations
of MT paradigms can benefit
from structural similarities in the underlying
models, which makes us expect even
stronger benefits from a tight integration of
different approaches.