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Authoritative: http://dx.doi.org/10.1080/09296170902975742   (Publisher's PDF... likely be available here.)

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Abstract

This article investigates probability distributions of the dependency relation extracted from a Chinese dependency treebank. The author shows the frequency distributions of dependency type, of word class both as a dependent and a governor, of verb as a governor, and of noun as a dependent. The fitting results reveal that most of the investigated distributions are excellently fitted with a modified right-truncated Zipf-Alekseev distribution. In the analysis of exponential regressions, most of the determination coefficients R2 are very good, which is an alternative evidence that the investigated distributions are fitted well.

@article{liu09dependencyDistribution,
  author={Haitao Liu},
  title={Probability Distribution of Dependencies Based on a Chinese Dependency Treebank},
  journal={Journal of Quantitative Linguistics},
  year={2009},
  month={August},
  volume={16},
  number={3},
  pages={256-273},
  doi={10.1080/09296170902975742},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/liu09dependencyDistribution.html}
}