Efficient Expansion of MT Rules using Corpora

Abstract

Since the expansion of MT rules is currently being performed by humans, it is taking too long and is too expensive.This paper proposes a new procedure that expands MT rules efficiently by supporting human judgements with linguistic information automatically collected from monolingual corpora.An MT rule consists of source knowledge and target knowledge.The new procedure uses the source knowledge present in an MT system as the key to retrieve source language information from corpora.It also uses the partial translations provided by the MT to acquire target language information.These two techniques can reduce labor costs without being lower translation quality in comparison with the conventional method.Experimenta results confirm this benefit.