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Abstract

A number of Russian verbs lack 1sg non-past forms. These paradigmatic gaps are puzzling because they seemingly contradict the highly productive nature of inflectional systems. We model the persistence and spread of Russian gaps via a multi-agent model with Bayesian learning. We ran three simulations: no grammar learning, learning with arbitrary analogical pressure, and morphophonologically conditioned learning. We compare the results to the attested historical development of the gaps. Contradicting previous accounts, we propose that the persistence of gaps can be explained in the absence of synchronic competition between forms.

@inproceedings{daland07socialNetworkRussian,
  author={Robert Daland and Andrea D. Sims and Janet Pierrehumbert},
  title={Much ado about nothing: A social network model of Russian paradigmatic gaps},
  year={2007},
  pages={936-943},
  address={Prague, Czech Republic},
  booktitle={Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/daland07socialNetworkRussian.html}
}

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