Abstract

The PANGLOSS Mark III system [Frederking et al. 94] was from the outset de-signed to be a symbolic, human-aided machine translation (MT) system. The need arose to rapidly adapt it for use as a fully-automated MT system. Our solution to this problem was to add a statistical English language model (ELM) to replace the most significant user activity, selecting between alternate transla-tions produced by the system. The language model used is a trigram model with backoff to bigram and unigram probabilities. The language modeling and search procedure are described in detail, and comparison is made to other trigram-based statistical MT work. 1

Citations