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An algorithm for constructing an even grammar from a language sample
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Source ACM Southeast Regional Conference archive
Proceedings of the 42nd annual Southeast regional conference table of contents
Huntsville, Alabama
SESSION: Theory & human computer interaction & programming languages table of contents
Pages: 240 - 245  
Year of Publication: 2004
ISBN:1-58113-870-9
Authors
Margaret Francel  The Citadel, Charleston, South Carolina
David J. John  Wake Forest University, Winston-Salem, North Carolina
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 15,   Citation Count: 1
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ABSTRACT

Two skeleton based algorithms are presented for the grammatical inference problem. The first demonstrates the use of a new relation on internal skeleton nodes that focuses on decedent information. The second addresses those positive samples that contain repeated substrings.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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M. Francel and D. John. Skeleton properties that guarantee a certain relationship between a language and an inference of the language, Proceedings of the 41st Southeastern Regional Meeting of the ACM, Mark Burge, editor, ACM Press 2003, pages 183--187.
 
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K. Fu and T. L. Booth, Grammatical Inference: Introduction and Survey-Part I. IEEE Transactions on Systems, Man, and Cybernetics, SMC-5(1):95--111, January 1975.
 
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K. Fu and T. L. Booth, Grammatical Inference: Introduction and Survey-Part II. IEEE Transactions on Systems, Man, and Cybernetics, SMC-5(4):409--423, July 1975.
 
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E. M. Gold. Language identification in the limit. Inf. Control, 10:447--474, 1967.
 
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Collaborative Colleagues:
Margaret Francel: colleagues
David J. John: colleagues