An example-based framework produces an
output sentence by mimicking the closest translation example
to an input sentence. The semantic distance from the input is
calculated for all examples. Then, the example closest to the
input is chosen, and the target expression of that example is
extracted. The distance between an input and a translation example
is measured in terms of a thesaurus hierarchy.
