Philippe Langlais DIRO Univ. of Montreal, Canada felipe@ Francois Yvon and Pierre Zweigenbaum LIMSI-CNRS Univ. Paris-Sud XI, France {yvon,pz}@ Abstract 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.
