Translation Combination using Factored Word Substitution
Proceedings of the Fourth Workshop on Statistical Machine Translation |
Published by Association for Computational Linguistics
We present a word substitution approach
to combine the output of different machine
translation systems. Using part of speech
information, candidate words are determined
among possible translation options,
which in turn are estimated through a precomputed
word alignment. Automatic
substitution is guided by several decision
factors, including part of speech, local
context, and language model probabilities.
The combination of these factors
is defined after careful manual analysis
of their respective impact. The approach
is tested for the language pair German-
English, however the general technique itself
is language independent.