In the present paper we attempted to generate a parametric model for word frequencies.In order to make this relation applicable, we arranged word lengths in accordance with their normalized frequencies. The pattern of occurrence of words containing different numbers of letters has been investigated on the basis of their Zipf's order and by applying power law for Zipf's order and frequencies. The applicability of the generated mathematical model for word length frequencies was verified for different texts. We also resolved the problem of establishing a relationship between word frequencies of higher Zipf's order with text length.
The incidence of different components of language in natural language texts are not arbitrarily organized but tend to obey particular laws which enable us to explain characteristic features of human language. The present paper is an attempt to analyse and model the pattern of occurrence of words in the Hindi language. Various kinds of corpora have been selected from different sources for the study, and the occurrence of words in these corpora has been observed for a variety of properties such as: frequencies, vocabulary measures, and pattern of initials of words relative to the subsequent matra.
In quantitative research related to the areas of language and linguistics, first the linguistic features are specified and counted, and then statistical models are constructed in order to explicate these observed facts. In the present paper, an attempt has been made to represent the pattern of occurrence of words of different lengths in various corpora of Hindi language in the form of a mathematical model and an inspection has been made to check the dependency of the parameters of investigated model for a particular text in the type of text by selection of texts under categories media/essay and creative writing; or in other words we have attempted to test the applications of the parameters of the model in text classification process.
Present paper is an attempt in the direction to represent the relation between time and the number of transmitted COVID cases in the form of mathematical equation.
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