Published April 1, 2019 | Version v1
Journal article Open

PATTERN RECOGNITION OF CHILDREN STORIES BASED ON THEMES USING TIME SERIES DATA

Description

This paper presents a study for three languages namely Assamese, Bengali and English. The main objective of this study is to recognize the patterns based on language model with special reference to children stories in order to find the distinction among all these languages. We consider only the children stories because they are found to be similar all over the world with different flavors produced by different cultures, languages and time. Sixteen stories based on themes namely Fairy tales, Fables, Jack tales and Formula tales are considered for analysis. The significant differences among the types of stories written by different authors are verified . Autocorrelation test is performed by using Box- Ljung statistic to determine the randomness of the data by observing the language data as time series data. However for some of the stories, the data are found to be random and hence Kolmogorov goodness of fit test and Smirnov test are conducted to test the significant differences only for those stories. It has been shown that there exist significant differences among the writing patterns of the children stories written by different authors in different languages.

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