Skousen's analogical modelling algorithm: A comparison with lazy learning

New Methods In Language Processing

Volumn , Issue , 2013, Pages 3-15

  Daelemans, Walter ^a   Gillis, Steven ^b   Durieux, Gert ^b  

^a TILBURG UNIVERSITY   (Netherlands)

^b UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85137433033     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9781315072685-3     Document Type: Chapter

References (18)

1. Aha, D. 1990. A study of instance-based algorithms for supervised learning tasks. Technical Report 90-42, University of California at Irvine.
2. Aha, D., D. Kibler & M. Albert 1991. Instance-based learning algorithms. Machine Learning 6, 37-66.
3. Cardie, C. 1993. A case-based approach to knowledge acquisition for domain-specific sentence analysis. In Proceedings, 11th National Conference on Artificial Intelligence (AAAI), Washington, DC. 798-803.
4. Chandler, S. 1993. Are rules and modules really necessary for explaining language? Journal of Psycholinguistic Research 22, 593-606.
5. Cost, S. & S. Salzberg 1993. A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning, 10, 57-78.
6. Daelemans, W. 1995. Memory-based lexical acquisition and processing. In Machine translation and the lexicon, P. Steffens (ed.), 85-98. Berlin: Springer.
7. Daelemans, W. & A. van den Bosch 1992. Generalization performance of backpropagation learning on a syllabification task. In Proceedings of the Third Twente Workshop on Language Technology, Twente, The Netherlands, 27-38.
8. Daelemans, W., S. Gillis & G. Durieux 1994. The acquisition of stress, a data-oriented approach. Computational Linguistics 20, 421-51.
9. Derwing, B. & R. Skousen 1989. Real time morphology: symbolic rules or analogical networks. Berkeley Linguistic Society 15, 48-62.
10. Friedman, J., J. Bentley & R. Ari Finkel. 1977. An algorithm for finding best matches in logarithmic expected time. ACM Transactions on Mathematical Software 3, 209-26.
11. Kira, K. & L. Rendell 1992. A practical approach to feature selection. In International Conference on Machine Learning, Aberdeen, 249-56.
12. Kitano, H. 1993. Challenges of massive parallelism. In International Joint Conference on Artificial Intelligence, Chambery, 813-34.
13. Quinlan, J. 1986. Induction of decision trees. Machine Learning 1, 81-106.
14. Quinlan, J. 1993. C4.5: Programs for machine learning. San Mateo, Calif.: Morgan Kaufmann.
15. Salzberg, S. 1991. A nearest hyperrectangle learning method. Machine Learning6, 251-76.
16. Skousen, R. 1989. Analogical modeling of language. Dordrecht: Kluwer.
17. Stanfill, C. & D. Waltz 1986. Toward memory-based reasoning. Communications of the ACM 29, 1212-28.
18. Weiss, S. & C. Kulikowski 1991. Computer systems that learn. San Mateo, Calif.: Morgan Kaufmann