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2003 JMLR JMLR 2003

Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results

Abstract

This paper provides a comprehensive survey of the field of grammar induction applied to randomly generated languages using sparse example sets. [abs] [ pdf ][ ps.gz ][ ps ]

🌉 Interdisciplinary Bridge - Artificial Intelligence and Interdisciplinary and Natural Language Processing
📈 Trend Setter - Computational Linguistics
🧭 Keyword Pioneer - sparse data
🐣 Hot Topic Early Bird - syntactic structure

Authors

Orlando Cicchello, Stefan C. Kremer

Topics

Machine Learning > Core Methods > Representation Learning Machine Learning > Learning Types > Unsupervised Learning Natural Language Processing > Generation > Language Modeling Interdisciplinary > Linguistics > Computational Linguistics

Keywords

language acquisition grammar induction language learning sparse example set syntactic structure sparse data algorithm survey
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