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2004
Springer

Normalizing German and English Inflectional Morphology to Improve Statistical Word Alignment

10 years 15 days ago
Normalizing German and English Inflectional Morphology to Improve Statistical Word Alignment
German has a richer system of inflectional morphology than English, which causes problems for current approaches to statistical word alignment. Using Giza++ as a reference implementation of the IBM Model 1, an HMMbased alignment and IBM Model 4, we measure the impact of normalizing inflectional morphology on German-English statistical word alignment. We demonstrate that normalizing inflectional morphology improves the perplexity of models and reduces alignment errors.
Simon Corston-Oliver, Michael Gamon
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where AMTA
Authors Simon Corston-Oliver, Michael Gamon
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