Lexical Richness of Adolescents Across Multimodalities: Measures, Issues and Future Directions.

Lexical Richness (LR) is a scarcely researched subject in India. The objective of this paper is twofold: (i) To statistically inquire whether LR varies across three multimodalities: visual-only, audio-only, and audio-visual; and (ii) To see which of the two measures of LR (MATTR and Guiraud) is inde...

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Publicado en:IUP Journal of English Studies Vol. 18; no. 3; pp. 60 - 78
Autores principales: Parandhama, Aruna, Babu, Kishore Selva
Formato: Artículo
Publicado: IUP Publications Sep2023
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: Lexical Richness of Adolescents Across Multimodalities: Measures, Issues and Future Directions.
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        au:
          Parandhama, Aruna
          Babu, Kishore Selva
        affil:
          Research Scholar, Department of English and Cultural Studies, CHRIST (Deemed-to-be-University), Bengaluru, Karnataka, India
          Assistant Professor, Department of English and Cultural Studies, CHRIST (Deemed-to-be-University), Bengaluru, Karnataka, India
      su:
        Teenagers
        Moving average process
        Student speech
        Freedom of speech
        India
      sug:
        subj:
          India
          Teenagers
          Moving average process
          Student speech
          Freedom of speech
      ab: Lexical Richness (LR) is a scarcely researched subject in India. The objective of this paper is twofold: (i) To statistically inquire whether LR varies across three multimodalities: visual-only, audio-only, and audio-visual; and (ii) To see which of the two measures of LR (MATTR and Guiraud) is independent of text length and is best suited for short oral productions. 270 students across three types of schools were examined, out of whom 100 willingly completed all three oral tasks. The students were asked to retell the stories transacted in each modality in their own words. Randomization of sampling is done to mitigate the confounding modality bias. Additionally, the genre and parts of the storyline in each modality are similar. The students' oral speech samples were recorded, transcribed and analyzed on WordCruncher and TextElixir software. The results revealed that there is statistically significant variance among the modalities. Furthermore, the Moving Average Type Token Ratio (MATTR) is seen to be independent of text length compared to Index of Guiraud. This study also throws light on the observations made during the study, pertinent issues in the field of education, and future directions for research on LR.
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