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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 1 of 1 1 A.: Automatic Acquisition of Hungarian Subcategorization Frames András Serény; Eszter Simon; Anna Babarczy In: http://conf.uni-obuda.hu/cinti2008/40_cinti2008_submission.pdf (2008) Abstract: Abstract: Research on the automatic acquisition of lexical knowledge has recently gained increased attention in computational linguistics. Certain linguistic phenomena (e.g., ambiguity) pose computational problems that can only be solved if the system has access to lexical knowledge in general and to verb subcategorization frames in particular. Automatic subcategorization learning systems have been developed for most European languages. In the present paper a Hungarian adaptation of successful models constructed for other languages is discussed. The key approach adopted for our model is a statistical learning mechanism originally devised by Brent [6] and applied in a number of systems. In addition to, and in parallel with, the development of a system for the automatic acquisition of subcategorization frames, our project in progress has the broader aim of modelling the mechanisms of child language acquisition, specifically the process of learning argument structures (subcategorization frames) from the input available to young children. The outcome of our computational model will be tested against child language corpora: the model is taken to be successful if the development curves characterizing the machine learning algorithms match the characteristic U-shaped acquisition curves observed in child language. Keyword: automatic subcategorization frame; computational linguistics URL: http://conf.uni-obuda.hu/cinti2008/40_cinti2008_submission.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.659.5692 BASE Hide details

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