Abstract
Even if n-grams were proved to be very powerful and robust in various tasks involving language models, they have a certain handicap that the dependency is limited to very short local context because of the Markov assumption. This article presents an improved cache based approach to Chinese statistical language modeling. We extend this model by introducing the Chinese concept lexicon into it. The cache of the extended language model contains not only the words occurred recently but also the semantically related words. Experiments have shown that the performance of the adaptive model has been improved greatly.
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References
Kuhn, R., De Mori, R.: A Cache-Based Natural Language Model for Speech Reproduction. IEEE Transactions on Pattern Analysis and Machine Intelligence (1990)
Kuhn, R., De Mori, R.: Corrections to.A Cache-Based Natural Language Model for Speech Reproduction’. IEEE Transactions on Pattern Analysis and Machine Intelligence (1992)
Iyer, R., Ostendorf, M.: Modeling Long Distance Dependencies in Language: Topic Mixtures vs. Dynamic Cache Models. In: Proceedings International Conference on Spoken Language Processing, Philadelphia, USA (1996)
Jelinek, F., Merialdo, B., Roukos, S., Strauss, M.: A Dynamic Language Model for Speech Recognition. In: Proceedings of Speech and Natural Language DARPA Workshop (1991)
Clarkson, P., Robinson, A.: Language model adaption using mixture and an exponentially decaying cache. In: Boc. ICASSP-97 (1997)
JiaJu, M., YiMing, Z.: TongYiCi Ci Lin. ShangHai□ ShangHai Dictionary Publication (1983)
Yang, K.C., Ho, T.H., Chien, L.F., Lee, L.S.: Statistics-based segment pattern lexicon. a new direction for Chinese language modeling. In: Proc. IEEE 1998 International Conference on Acoustic, Speech, Signal Processing, Seattle, WA, pp. 169–172 (1998)
Witten, I., Bell, T.: The zero-frequency problem: Estimating the probabilities of Novel Events in adaptive text compression. IEEE Transactions on Information theory 37(4) (1991)
Dempster, P., Laivd, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society B 39, 1–38 (1977)
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© 2005 Springer-Verlag Berlin Heidelberg
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Zhang, J., Sun, L., Qu, W., Du, L., Sun, Y. (2005). A Three Level Cache-Based Adaptive Chinese Language Model. In: Su, KY., Tsujii, J., Lee, JH., Kwong, O.Y. (eds) Natural Language Processing – IJCNLP 2004. IJCNLP 2004. Lecture Notes in Computer Science(), vol 3248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30211-7_51
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DOI: https://doi.org/10.1007/978-3-540-30211-7_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24475-2
Online ISBN: 978-3-540-30211-7
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