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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 ]

🧭 Keyword Pioneer — language acquisition
🐝 Cross-Pollinator — Artificial Intelligence, Computer Vision, Deep Learning, Interdisciplinary, Machine Learning, Natural Language Processing
🌉 Interdisciplinary Bridge — Interdisciplinary and Machine Learning and Natural Language Processing
📈 Trend Setter — Computational Linguistics
🐣 Hot Topic Early Bird — language acquisition

Authors

Orlando Cicchello , Stefan C. Kremer

Topics

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

Keywords

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