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Revista signos

versión On-line ISSN 0718-0934


SABAJ, Omar. Verbal specifivity, specialization and variability: a computacional approach in lexical statistic. Rev. signos [online]. 2004, vol.37, n.56, pp.75-89. ISSN 0718-0934.

Although there is a common agreement in that verbs fulfill, as a linguistic category (i.e. grammatical, morphological and semantic), a central roll in human languages, its study has been relegated almost exclusively to the grammar. By using computational tools, in this work the verbs are investigated as a lexicographical unit (lemmas) with a determined statistical behavior in a given corpus. The corpus analyzed in this research (Corpus PUCV-2003) is constituted by three main registers (the technical scientific corpus CTC, the corpus of Latin American Literature CLL and the corpus of oral interviews CEO), which altogether overpass a million of words. From the general corpus, the total (3.558) of the lemma types with their corresponding cases was extracted (tokens). The obtained results show the following tendencies. As far as the specialization of the verbs, there are very few verbs that can be considered as specialized. Secondly, there is a greater commonality between the verbs of the CLL and the CEO, in comparison with the verbs of the CTC contrasted with any other registers. Finally, it is observed that the greater verbal variability occurs in the CLL and the smaller variability in the CEO, nevertheless, in this last one there is a greater percentage of verbs by total amount of words. From these results it is possible to conclude that in the oral interviews more verbs are used (than in the other registers) although such verbs tend to be the same.

Palabras clave : Verbs; verbal specialization; verbal specificity; verbal variability; lexical statistics..

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