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» Contextual Grammars as Generative Models of Natural Language...
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JMLR
2010
134views more  JMLR 2010»
13 years 1 months ago
Using Contextual Representations to Efficiently Learn Context-Free Languages
We present a polynomial update time algorithm for the inductive inference of a large class of context-free languages using the paradigm of positive data and a membership oracle. W...
Alexander Clark, Rémi Eyraud, Amaury Habrar...
IJCNLP
2005
Springer
14 years 10 days ago
A Case-Based Reasoning Approach for Speech Corpus Generation
Corpus-based stochastic language models have achieved significant success in speech recognition, but construction of a corpus pertaining to a specific application is a difficult ta...
Yandong Fan, Elizabeth A. Kendall
EMNLP
2010
13 years 4 months ago
Self-Training with Products of Latent Variable Grammars
We study self-training with products of latent variable grammars in this paper. We show that increasing the quality of the automatically parsed data used for self-training gives h...
Zhongqiang Huang, Mary P. Harper, Slav Petrov
GRAMMARS
2002
119views more  GRAMMARS 2002»
13 years 6 months ago
Computational Complexity of Probabilistic Disambiguation
Recent models of natural language processing employ statistical reasoning for dealing with the ambiguity of formal grammars. In this approach, statistics, concerning the various li...
Khalil Sima'an