Computer Science Department
School of Computer Science, Carnegie Mellon University
Maximal Lattice Overlap
in Example-Based Machine Translations
Rebecca Hutchinson, Paul N. Bennett, Jaime Carbonell,
Peter Jansen, Ralf Brown
June 2003
Also appears as Language Technologies Institute Technical Report
CMU-LTI-03-174
CMU-CS-03-138.ps
CMU-CS-03-138.pdf
Example-Based Machine Translation (EBMT) retrieves pre-translated phrases
from a sentence-aligned bilingual training corpus to translate new
input sentences. EBMT uses long pre-translated phrases effectively but
is subject to disfluencies at phrasal translation boundaries. We address
this problem by introducing a novel method that exploits overlapping
phrasal translations and the increased confidence in translation accuracy
they imply. We specify an efficient algorithm for producing translations
using overlap. Finally, our empirical analysis indicates that this
approach produces higher quality translations than the standard method
of EBMT in a peak-to-peak comparison.
12 pages
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