Improving machine translation quality with automatic named entity recognition

Authors:
Bogdan Babych;Anthony Hartley
Affiliations:
University of Leeds, UK and University of Sheffield, UK;University of Leeds, UK
Venue:
EAMT '03 Proceedings of the 7th International EAMT workshop on MT and other Language Technology Tools, Improving MT through other Language Technology Tools: Resources and Tools for Building MT
Year:
2003

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Abstract

Named entities create serious problems for state-of-the-art commercial machine translation (MT) systems and often cause translation failures beyond the local context, affecting both the overall morphosyntactic well-formedness of sentences and word sense disambiguation in the source text. We report on the results of an experiment in which MT input was processed using output from the named entity recognition module of Sheffield's GATE information extraction (IE) system. The gain in MT quality indicates that specific components of IE technology could boost the performance of current MT systems.