Non-canonical Inflection: Data, Formalisation and Complexity Measures

  • Benoît Sagot
  • Géraldine Walther
Conference paper

DOI: 10.1007/978-3-642-23138-4_3

Part of the Communications in Computer and Information Science book series (CCIS, volume 100)
Cite this paper as:
Sagot B., Walther G. (2011) Non-canonical Inflection: Data, Formalisation and Complexity Measures. In: Mahlow C., Piotrowski M. (eds) Systems and Frameworks for Computational Morphology. SFCM 2011. Communications in Computer and Information Science, vol 100. Springer, Berlin, Heidelberg


Non-canonical inflection (suppletion, deponency, heteroclisis, etc.) is extensively studied in theoretical approaches to morphology. However, these studies often lack practical implementations associated with large-scale lexica. Yet these are precisely the requirements for objective comparative studies on the complexity of morphological descriptions. We show how a model of inflectional morphology which can represent many non-canonical phenomena [67], as well as a formalisation and an implementation thereof can be used to evaluate the complexity of competing morphological descriptions. After illustrating the properties of the model with data about French, Latin, Italian, Persian and Sorani Kurdish verbs and about noun classes from Croatian and Slovak we expose experiments conducted on the complexity of four competing descriptions of French verbal inflection. The complexity is evaluated using the information-theoretic concept of description length. We show that the new concepts introduced in the model by [67] enable reducing the complexity of morphological descriptions w.r.t. both traditional or more recent models.


Inflectional Morphology Description Complexity MDL Paradigm Shape Canonicity Inflection Zone Stem Zone Inflection Pattern Stem Pattern 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Benoît Sagot
    • 1
  • Géraldine Walther
    • 2
  1. 1.ALPAGEINRIA Paris–Rocquencourt & UniversitéParis 7France
  2. 2.LLF, UMR 7110Univ. Paris Diderot, Sorbonne Paris CitéParisFrance

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