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Class-Based n-gram Models of Natural Language
Peter F. Brown, Vincent J. Della Pietra, Peter V. deSouza et al., 1992. Computational Linguistics.
Introduces what became known as Brown clustering: grouping words into classes by the words around them so that a class-based n-gram language model loses as little information as possible.
What it's used for here
The methods surveys list Brown clustering as an untried way to induce word classes in the Voynich text.
Cited by on this site 3 records
3 methods surveys
SRCMathematics, linguistics, inductive methods
Cite it
Brown, P. F., Della Pietra, V. J., deSouza, P. V., Lai, J. C., & Mercer, R. L. (1992). Class-Based n-gram Models of Natural Language. Computational Linguistics. https://aclanthology.org/J92-4003/
@article{brown1992class,
author = {Brown, Peter F. and Della Pietra, Vincent J. and deSouza, Peter V. and Lai, Jenifer C. and Mercer, Robert L.},
title = {Class-Based n-gram Models of Natural Language},
journal = {Computational Linguistics},
year = {1992},
url = {https://aclanthology.org/J92-4003/}
}TY - JOUR TI - Class-Based n-gram Models of Natural Language AU - Brown, Peter F. AU - Della Pietra, Vincent J. AU - deSouza, Peter V. AU - Lai, Jenifer C. AU - Mercer, Robert L. PY - 1992 JO - Computational Linguistics UR - https://aclanthology.org/J92-4003/ ER -
Brown, Peter F. et al.. “Class-Based n-gram Models of Natural Language.” Computational Linguistics (1992).