Abstract
We describe a machine learning method for collecting idiomatic fixed stem verb frames. Firstly we collect frequent frame candidates from the output of a partial parser, secondly we apply a certain idiomaticity metric to the list to get the most idiomatic frames. Running our implemented system we get a list of ten thousand frames of more than 900 verbs which will be translated to English and used as a resource in a Hungarian-to-English machine translation system.
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Sass, B. (2006). Extracting Idiomatic Hungarian Verb Frames. In: Salakoski, T., Ginter, F., Pyysalo, S., Pahikkala, T. (eds) Advances in Natural Language Processing. FinTAL 2006. Lecture Notes in Computer Science(), vol 4139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816508_31
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DOI: https://doi.org/10.1007/11816508_31
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