The paper reports on a detailed quantitative analysis of distributional language data of both Italian and Czech, highlighting the relative contribution of a number of distributed grammatical factors to sentence-based identification of subjects and direct objects. The work uses a Maximum Entropy model of stochastic resolution of conflicting grammatical constraints and is demonstrably capable of putting explanatory theoretical accounts to the test of usage-based empirical verification.
Probing the space of grammatical variation: induction of cross-lingual grammatical constraints from treebanks
Dell'Orletta F;Montemagni S;Pirrelli
2006
Abstract
The paper reports on a detailed quantitative analysis of distributional language data of both Italian and Czech, highlighting the relative contribution of a number of distributed grammatical factors to sentence-based identification of subjects and direct objects. The work uses a Maximum Entropy model of stochastic resolution of conflicting grammatical constraints and is demonstrably capable of putting explanatory theoretical accounts to the test of usage-based empirical verification.File in questo prodotto:
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