Two Experiments on Learning Probabilistic Dependency Grammars from Corpora

This work presents a scheme for learning probabilistic dependency grammars from positive training examples plus constraints on rules plus results of two experiments, in which the constraints were minimal and the first experiment was unsuccessful.

Abstract

We present a scheme for learning probabilistic dependency grammars from positive training examples plus constraints on rules. In particular, we present the results of two experiments. The first, in which the constraints were minimal, was unsuccessful. The second, with significant constraints, was successful within the bounds of the task we had set.