Statistical Parameters in Pathological Text
| Autor: | Weronika Piotrowska, Xenia Piotrowska |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Linguistics and Language
Zipf's law business.industry Existential quantification Statistical parameter Type (model theory) Variety (linguistics) Lexicon computer.software_genre Language and Linguistics Statistics Subject (grammar) Artificial intelligence business computer Word (group theory) Natural language processing Mathematics |
| Zdroj: | Journal of Quantitative Linguistics. 11:133-140 |
| ISSN: | 1744-5035 0929-6174 |
| Popis: | Some results obtained from quantitative analysis of the texts produced by six Russian schizophrenic patients was analyzed. The analysis shows that there exists some statistical parameters which reflect two major types of verbal-mental disorders. In the first case, an obsession reorders the patient's verbal-mental activity. Consequently, the text is filled mainly with words and word combinations related to the obsessional topic. The variety of lexical units employed here is restricted, and the are many repetitions. This naturally leads to rapid saturation. This is reflected in the parabolic form of Zipf's curve. Disorders of the second type are characterized by multiple topics and the absence of a consistent subject, the lexicon is here varied and chaotic. Thus such a text represents unsaturated sets having Zipf's parameter γ ≪ 1 and small values of Herdan's parameter ϒ. |
| Databáze: | OpenAIRE |
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