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Quantitative Differences among Normal and Knowledge Texts on Agriculture Waste Processing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F14%3A65603" target="_blank" >RIV/60460709:41110/14:65603 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Quantitative Differences among Normal and Knowledge Texts on Agriculture Waste Processing

  • Original language description

    The objective of this work is to identify the differences among educational texts written in two styles: normal educational text and their knowledge form. The research sample consists of 60 documents ? educational texts on agriculture waste processing ?converted by the authors into the knowledge form. Over the set of indicators used for evaluating the educational texts, we formulated working and operational hypotheses and validated them using the paired sample t-test. The results show that the complextext difficulty rate of knowledge texts is significantly (a = 0.05) lower than of the normal texts. They present the same amount of information logically divided into more simple sentences merged to complex sentences. Based on the difference in frequencies of selected identifiers we are able to distinguish the literary styles. The further research aims at an automatic recognition of the text styles and measuring the amount of knowledge inside the text.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    AGRIS on-line Papers in Economics and Informatics

  • ISSN

    1804-1930

  • e-ISSN

  • Volume of the periodical

    VI

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    10

  • Pages from-to

    59-68

  • UT code for WoS article

  • EID of the result in the Scopus database