CUED Publications database

Improving statistical machine translation by classifying and generalizing inflected verb forms

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.

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Abstract

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.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 11:23
Last Modified: 08 Dec 2014 02:40
DOI: