De Gispert, A and Mariño, JB and Crego, JM (2005) Improving statistical machine translation by classifying and generalizing inflected verb forms. 9th European Conference on Speech Communication and Technology. pp. 3193-3196.Full text not available from this repository.
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.
|Divisions:||Div F > Machine Intelligence|
|Depositing User:||Unnamed user with email firstname.lastname@example.org|
|Date Deposited:||18 May 2016 19:23|
|Last Modified:||31 Jul 2016 01:23|