期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2009
卷号：2009
出版社：ACL Anthology
摘要：Handling terminology is an important
matter in a translation workflow. However,
current Machine Translation (MT) systems
do not yet propose anything proactive
upon tools which assist in managing terminological
databases. In this work, we investigate
several enhancements to analogical
learning and test our implementation
on translating medical terms. We show
that the analogical engine works equally
well when translating from and into a morphologically
rich language, or when dealing
with language pairs written in different
scripts. Combining it with a phrasebased
statistical engine leads to significant
improvements.
