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Lexicalized Stochastic Modeling of Constraint-Based Grammars using Log-Linear Measures and EM Training
[article]
2000
arXiv
pre-print
We present a new approach to stochastic modeling of constraint-based grammars that is based on log-linear models and uses EM for estimation from unannotated data. The techniques are applied to an LFG grammar for German. Evaluation on an exact match task yields 86% precision for an ambiguity rate of 5.4, and 90% precision on a subcat frame match for an ambiguity rate of 25. Experimental comparison to training from a parsebank shows a 10% gain from EM training. Also, a new class-based grammar
arXiv:cs/0008034v1
fatcat:ty2zl26xxzcbppk35hzomb5pva