1Word Frequencies 1.1Introduction 1.2The frequency spectrum 1.3Zipf 1.4The quest for characteristic constants 1.5The lognormal distribution 1.6Discussion 1.7Bibliographical Comments 1.8Questions 2Non-parametric models 2.1Basic concepts. 2.2The Um model. 2.3The Structural Type Distribution 2.4The LNRE zone 2.5Good-Turing estimates 2.6Interpolation and Extrapolation 2.6.1Interpolation 2.6.2Extrapolation 2.7Discussion 2.8Bibliographical Comments 2.9Questions 3Parametric models 3.1Introduction 3.2LNRE models 3.2.1The Lognormal Structural Type Distribution 3.2.2The Generalized Inverse Gauss-Poisson Structural Type Distribution 3.2.3The Zipfian Family of LNRE Models 3.3Evaluating Goodness of Fit 3.4Parameter estimation 3.5A comparative study 3.6Comparing Lexical Measures Across Texts 3.7Discussion 3.8Bibliographical Comments 3.9Questions 4Mixture distribution尽 4.1Introduction 4.2Expectations, variances, and covariances 4.3Examples of mixture distributions 4.3.1A text-level mixture model 4.3.2Morphological mixtures 4.4Morphological Productivity 4.5Discussion 4.6Bibliographical Comments 4.7Questions 5The Randomness Assumption 5.1The Randomness Assumption 5.1.1Non-randomness and lexical specialization 5.1.2Consequences of non-randomness 5.2Adjusted LNRE models 5.2.1Partition-based adjustment 5.2.2Parameter-based adjustment 5.3Discussion 5.4Bibliographical Comments 6Examples of Applications 6.1Distributional properties of the lexicon 6.1.1Word leng? and sample size 6.1.2Matching reliability across corpora 6.2Morphological productivity 6.2.1Global analyses 6.2.2Productivity and register 6.3Authorship and Style 6.4Beyond word frequency distributions 6.4.1Counts of filarial worms on mites on rats 6.4.2Year references 6.3CV-structures. 6.4.4Word pairs 6.4.5Discussion 6.5Some practical guidelines A List of Symbols B Solutions to the exercises C Software D Data sets Bibliography Index
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