Minimisation, Indiierence and Statistical Language Learning
نویسنده
چکیده
When applied to probabilistic categorial grammar learning, the Minimum Description Length principle outperforms Maximum Likelihood Estimation. Smoothing does not bridge the gap between the two approaches.
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