@inproceedings{richardson2001overcoming,
author = {Richardson, Stephen D. and Dolan, Bill and Menezes, Arul and Corston-Oliver, Monica},
title = {Overcoming The Customization Bottleneck Using Example-Based MT},
year = {2001},
month = {July},
abstract = {We describe MSR-MT, a large-scale hybrid machine translation system under development for several language pairs. This system’s ability to acquire its primary translation knowledge automatically by parsing a bilingual corpus of hundreds of thousands of sentence pairs and aligning resulting logical forms demonstrates true promise for overcoming the so-called MT customization bottleneck. Trained on English and Spanish technical prose, a blind evaluation shows that MSR-MT’s integration of rule-based parsers, example based processing, and statistical techniques produces translations whose quality exceeds that of uncustomized commercial MT systems in this domain.},
publisher = {Association for Computational Linguistics},
url = {http://approjects.co.za/?big=en-us/research/publication/overcoming-the-customization-bottleneck-using-example-based-mt/},
}