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Using language models and latent semantic analysis to characterise the N400m neural response
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Unsupervised phonemic Chinese word segmentation using adaptor grammars
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Transforming Projective Bilexical Dependency Grammars into Efficiently-Parsable CFGs with Unfold-Fold
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Johnson, Mark E. - : East Stroudsburg, PA : Association for Computational Linguistics, 2007
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A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
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Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models
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11 |
Representational bias in unsupervised learning of syllable structure
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Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
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15 |
Discriminative language modeling with conditional random fields and the perceptron algorithm
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Sentence-Internal Prosody Does not Help Parsing the Way Punctuation Does
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19 |
Hierarchical Semantic Classification: Word Sense Disambiguation with World Knowledge
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