EBMT
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Example-based machine translation
The Example-based machine translation (EBMT) approach to
machine translation
is often characterized by its use of a bilingual
corpus
with
parallel texts
as its main knowledge base, at run-time. It is essentially a translation by
analogy
and can be viewed as an implementation of
case-based reasoning
approach of
machine learning
.
See more at Wikipedia.org...
This article uses material from
Wikipedia
®
and is licensed under the
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