Adaptive string distance measures for bilingual dialect lexicon induction
Yves Scherrer · 2007
This paper compares different measures of graphemic similarity applied to the task of bilingual lexicon induction between a Swiss German dialect and Standard German.The measures have been adapted to this particular language pair by training stochastic transducers with the Expectation-Maximisation algorithm or by using handmade transduction rules.These adaptive metrics show up to 11% F-measure improvement over a static metric like Levenshtein distance.