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International Journal of Theoretical Linguistics

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Editorial Board: Altmann, Gabriel / Andreev, Sergey / Bär, Jochen A. / Embleton, Sheila / Gries, Stefan Th. / Grzybek, Peter / Leiss, Elisabeth / Liu, Haitao / Macutek, Ján / Bruch Nemcová, Emilia / Patrás, Vladimír / Sanada, Haruko / Wilson, Andrew

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The risks of mixing dependency lengths from sequences of different length

Ramon Ferrer-i-Cancho
  • Complexity and Quantitative Linguistics Lab, LARCA Research Group. Department of Computer Science, Universitat Politècnica de Catalunya (UPC). Campus Nord, Edifici Ω, Jordi Girona Salgado 1-3. 08034 Barcelona, Catalonia (Spain)
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/ Haitao Liu
Published Online: 2014-11-07 | DOI: https://doi.org/10.1515/glot-2014-0014


Mixing dependency lengths from sequences of different length is a common practice in language research. However, the empirical distribution of dependency lengths of sentences of the same length differs from that of sentences of varying length. The distribution of dependency lengths depends on sentence length for real sentences and also under the null hypothesis that dependencies connect vertices located in random positions of the sequence. This suggests that certain results, such as the distribution of syntactic dependency lengths mixing dependencies from sentences of varying length, could be a mere consequence of that mixing. Furthermore, differences in the global averages of dependency length (mixing lengths from sentences of varying length) for two different languages do not simply imply a priori that one language optimizes dependency lengths better than the other because those differences could be due to differences in the distribution of sentence lengths and other factors.

Keywords: syntactic dependency; syntax; dependency length

About the article

Published Online: 2014-11-07

Published in Print: 2014-11-01

Citation Information: Glottotheory, Volume 5, Issue 2, Pages 143–155, ISSN (Online) 2196-6907, ISSN (Print) 1337-7892, DOI: https://doi.org/10.1515/glot-2014-0014.

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