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Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models

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Figure

Figure 1: A graphical model representation of the two-stage language modeling framework
Figure 2: An illustration of the Chinese restaurant process, reproduced from Goldwater et al.(2009)
Figure 3: An illustration of the two-stage restaurant, adapted from Goldwater et al. (2009)
Figure 4: Simulating power laws in natural language, illustrated using Zipf plots. The Zipf plotdisplays the log frequency of a word as a function of the log of the rank of that fre-quency (i.e., the number of words with frequency greater than or equal to
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