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Empirical Analyses of Valency Structures

  • Andrei Beliankou and Reinhard Köhler
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Abstract

Verb valency structures have long been the focus in dependency grammar. Arguments, whether they are obligatory complements or optional adjuncts of verb valency, generally are not described with respect to conditions and criteria in linguistic dictionaries. Therefore, this article attempts to examine the individual dynamic occurrence of verbs with their specific argument structures, and the differentiation between complements and adjuncts from a quantitative perspective. Data were obtained from a dependency syntactically annotated Russian National Corpus (RNC), which contained 2255 different Sentence Structure Schemes (SSS). Several conclusions are obtained. First, the rank-size distribution of SSS fit the Waring distribution perfectly. Second, the relation between the number of SSS (y) and the number of verbs (x) with y SSS follows an exponential function. Third, the number of complements for SSS and the frequency of the SSS with x complements abide by the Binomial distribution. The empirical data concerning valency structures display a lawful behaviour, which has relative implications for language teaching and learning.

Abstract

Verb valency structures have long been the focus in dependency grammar. Arguments, whether they are obligatory complements or optional adjuncts of verb valency, generally are not described with respect to conditions and criteria in linguistic dictionaries. Therefore, this article attempts to examine the individual dynamic occurrence of verbs with their specific argument structures, and the differentiation between complements and adjuncts from a quantitative perspective. Data were obtained from a dependency syntactically annotated Russian National Corpus (RNC), which contained 2255 different Sentence Structure Schemes (SSS). Several conclusions are obtained. First, the rank-size distribution of SSS fit the Waring distribution perfectly. Second, the relation between the number of SSS (y) and the number of verbs (x) with y SSS follows an exponential function. Third, the number of complements for SSS and the frequency of the SSS with x complements abide by the Binomial distribution. The empirical data concerning valency structures display a lawful behaviour, which has relative implications for language teaching and learning.

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