Interspeech'2005 - Eurospeech

Lisbon, Portugal
September 4-8, 2005

Improving Statistical Machine Translation by Classifying and Generalizing Inflected Verb Forms

Adrià de Gispert, José B. Mariño, Josep M. Crego

Universitat Politècnica de Catalunya, Barcelona, Spain

This paper introduces a rule-based classification of single-word and compound verbs into a statistical machine translation approach. By substituting verb forms by the lemma of their head verb, the data sparseness problem caused by highly-inflected languages can be successfully addressed. On the other hand, the information of seen verb forms can be used to generate new translations for unseen verb forms. Translation results for an English to Spanish task are reported, producing a significant performance improvement.

Full Paper

Bibliographic reference.  Gispert, Adrià de / Mariño, José B. / Crego, Josep M. (2005): "Improving statistical machine translation by classifying and generalizing inflected verb forms", In INTERSPEECH-2005, 3193-3196.