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A computational approach to deciphering unknown scripts
Kevin Knight, Kenji Yamada, 1999. Proceedings of the ACL Workshop on Unsupervised Learning in Natural Language Processing: 37–44.
An early paper treating the decipherment of unknown scripts as a statistical learning problem, recovering sound values for written symbols with the EM algorithm in tests on known languages.
What it's used for here
The book (chapter 22) cites it for the two-state hidden Markov model that separates vowels from consonants without being told which is which.
Cited by on this site 1 record
Reading Without a Key
SRCThe book, version 2.0
Cite it
Knight, K., & Yamada, K. (1999). A computational approach to deciphering unknown scripts. Proceedings of the ACL Workshop on Unsupervised Learning in Natural Language Processing, 37–44.
@inproceedings{knight1999,
author = {Knight, Kevin and Yamada, Kenji},
title = {A computational approach to deciphering unknown scripts},
booktitle = {Proceedings of the ACL Workshop on Unsupervised Learning in Natural Language Processing},
year = {1999},
pages = {37--44}
}TY - GEN TI - A computational approach to deciphering unknown scripts AU - Knight, Kevin AU - Yamada, Kenji PY - 1999 JO - Proceedings of the ACL Workshop on Unsupervised Learning in Natural Language Processing SP - 37 EP - 44 ER -
Knight, Kevin and Kenji Yamada. “A computational approach to deciphering unknown scripts.” Proceedings of the ACL Workshop on Unsupervised Learning in Natural Language Processing (1999): 37–44.