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• W2949417059 abstract "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 lexicalization is presented, showing a 10% gain over unlexicalized models." @default.
• W2949417059 created "2019-06-27" @default.
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• W2949417059 date "2000-08-30" @default.
• W2949417059 modified "2023-09-27" @default.
• W2949417059 title "Lexicalized Stochastic Modeling of Constraint-Based Grammars using Log-Linear Measures and EM Training" @default.
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