Example-based machine translation using {DP}-matching between word sequences.

Publication TypeConference Paper
Year of Publication2001
AuthorsSumita, E.
Conference NameProceedings of the workshop on Data-driven Machine Translation at 39th ACL
Pagination1--8
Conference Start DateJuly 9-11
Conference LocationToulouse, France
AbstractWe propose a new approach under the example-based machine translation paradigm. First, the proposed approach retrieves the most similar example by carrying out DP-matching of the input sentence and example sentences while measuring the semantic distance of the words. Second, the approach adjusts the gap between the input and the most similar example by using a bilingual dictionary. We show the results of a computational experiment.
URLClick Here