Biber, D.: Variation across speech and writing. Cambridge University Press, Cambridge (1988)
Biber, D.: Using register-diversified corpora for general language studies. Computational Linguistics 19(2), 219–241 (1993)
Biber, D., Conrad, S., Reppen, R.: Corpus linguistics: Investigating language structure and use. Cambridge University Press, Cambridge (1998)
[+]
Biber, D.: Variation across speech and writing. Cambridge University Press, Cambridge (1988)
Biber, D.: Using register-diversified corpora for general language studies. Computational Linguistics 19(2), 219–241 (1993)
Biber, D., Conrad, S., Reppen, R.: Corpus linguistics: Investigating language structure and use. Cambridge University Press, Cambridge (1998)
Cacoullous, R.: Estimation of a probability density. Annals of the Institute of Statistical Mathematics (Tokyo) 18(2), 179–189 (1966)
Carter, R., Hughes, R., McCarthy, M.: Exploring grammar in context. Cambridge University Press, Cambridge (2000)
Jurafsky, D.: A probabilistic model of lexical and syntactic access and disambiguation. Cognitive Science 20(2), 137–194 (1996)
Jurafsky, D., Martin, J.H.: Speech and language processing: An introduction to natural language processing. In: Speech Recognition, and Computational Linguistics. Prentice-Hall, New Jersey (2000)
Kacalak, W., Stuart, K., Majewski, M.: Intelligent natural language processing. In: Jiao, L., Wang, L., Gao, X.-b., Liu, J., Wu, F. (eds.) ICNC 2006. LNCS, vol. 4221, pp. 584–587. Springer, Heidelberg (2006)
Kacalak, W., Stuart, K., Majewski, M.: Selected problems of intelligent handwriting recognition. Advances in Soft Computing 41, 298–305 (2007)
Kennedy, G.: An introduction to corpus linguistics. Longman, London (1998)
Lapata, M., Keller, F., Schulte, S.: Verb frame frequency as a predictor of verb bias. Journal of Psycholinguistic Research 30(4), 419–435 (2001)
Manning, C., Schtze, H.: Foundations of statistical natural language processing. MIT Press, Cambridge (1999)
Murthy, V.K.: Estimation of a probability density. The Annals of Mathematical Statistics 36(3), 1027–1031 (1965)
Parzen, E.: On estimation of a probability density function and mode. The Annals of Mathematical Statistics 33(3), 1065–1076 (1962)
Roland, D., Elman, J.L., Ferreira, V.S.: Why is that? Structural prediction and ambiguity resolution in a very large corpus of English sentences. Cognition 98(3), 245–272 (2006)
Sampson, G.: English for the computer. Oxford University Press, Oxford (1995)
Sinclair, J.: Corpus, Concordance, Collocation. Oxford University Press, Oxford (1991)
Specht, D.F.: Probabilistic neural networks. Neural Networks 3(1), 109–118 (1990)
Specht, D.F.: A general regression neural network. IEEE Transactions on Neural Networks 2(6), 568–576 (1991)
Specht, D.F.: Enhancements to probabilistic neural networks. In: Proceedings of the IEEE International Joint Conference on Neural Networks, Baltimore Maryland USA, vol. 1, pp. 761–768 (1992)
Specht, D.F., Romsdahl, H.: Experience with adaptive probabilistic neural networks and adaptivegeneral regression neural networks. In: IEEE World Congress on Computational Intelligence, IEEE International Conference on Neural Networks, Orlando Florida USA, vol. 2, pp. 1203–1208 (1994)
Stuart, K., Majewski, M.: Selected problems of knowledge discovery using artificial neural networks. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds.) ISNN 2007. LNCS, vol. 4493, pp. 1049–1057. Springer, Heidelberg (2007)
Stuart, K., Majewski, M.: A new method for intelligent knowledge discovery. Advances in Soft Computing 42, 721–729 (2007)
Stuart, K., Majewski, M.: Artificial creativity in linguistics using evolvable fuzzy neural networks. In: Hornby, G.S., Sekanina, L., Haddow, P.C. (eds.) ICES 2008. LNCS, vol. 5216, pp. 437–442. Springer, Heidelberg (2008)
Stuart, K., Majewski, M.: Evolvable neuro-fuzzy system for artificial creativity in linguistics. In: Huang, D.-S., Wunsch II, D.C., Levine, D.S., Jo, K.-H. (eds.) ICIC 2008. LNCS (LNAI), vol. 5227, pp. 46–53. Springer, Heidelberg (2008)
Stuart, K.D., Majewski, M., Trelis, A.B.: Selected problems of intelligent corpus analysis through probabilistic neural networks. In: Zhang, L., Lu, B.-L., Kwok, J. (eds.) ISNN 2010. LNCS, vol. 6064, pp. 268–275. Springer, Heidelberg (2010)
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