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Identifying English and Hungarian Light Verb Constructions: A Contrastive Approach

Veronika Vincze, István T. Nagy and Richárd Farkas

The 51st Annual Meeting of the Association for Computational Linguistics - Short Papers (ACL Short Papers 2013)
Sofia, Bulgaria, August 4-9, 2013


In this paper, we introduce a machine learning based approach that allows us to identify light verb constructions (LVCs) in Hungarian and English free texts. We also present the results of our experiments on the SzegedParalellFX English–Hungarian parallel corpus where LVCs were manually annotated in both languages. With our approach, we were able to contrast the performance of our method and define language-specific features for these typologically different languages. Our presented method proved to be sufficiently robust as it achieved approximately the same scores on two the typologically different languages.

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