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LEXICAL COHESION ANALYSIS OF THE ARTICLE A REVIEW GENDER DIFFERENCES IN HUMAN BRAIN BY ZEENAT F. ZAIDI

AYUNDA, RHAMESWARI (2012) LEXICAL COHESION ANALYSIS OF THE ARTICLE A REVIEW GENDER DIFFERENCES IN HUMAN BRAIN BY ZEENAT F. ZAIDI. Skripsi,Fakultas Ilmu Budaya.

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    Abstract

    This thesis, entitled A Review Gender Differences in Human Brain by Zeenat F Zaidi is a descriptive research. It has two objectives; to find out the types of lexical cohesion in scientific article of A Review gender Differences in Human Brain by Zeenat F. Zaidi and to describe how the use of lexical cohesion make the sentences find are cohesiveness. In collecting the data, the researcher presents all sentences which contain lexical cohesion devices. Next, the researcher classifies the sentences containing lexical cohesion devices and then explained their relation in the text. The data analysis result shows that lexical cohesive devices found in article A Review Gender Differences in Human Brain by Zeenat F Zaidi are Repetition, Antonymy, Synonymy, Meronymy, Hyponymy, Collocation. The number of repetition is about 60 occurrences or 14,5%, then, the number of synonymy is about 12 occurrences or 2,9%, and next, the number of antonymy is about 226 occurrences or 54,6%, after word, the number of hyponymy is about 8 occurrences or 1,9%, after that, the number of meronymy is about 29 occurrences or 7,0%, and the last, the number of collocation is about 79 occurrences or 19,1%. The result of the article A Review Gender Differences in Human Brain by Zeenat F Zaidi is cohesive because the meaning of this article is connected to each other. The text uses cohesive devices to create the meaning between paragraph.

    Item Type: Article
    Subjects: Universitas Dian Nuswantoro > Fakultas Ilmu Budaya > Bahasa Inggris
    Z Literatur, Sastra > Bahasa Inggris
    Divisions: Fakultas Ilmu Budaya
    Depositing User: Psi Udinus
    Date Deposited: 07 Oct 2014 16:17
    Last Modified: 20 Nov 2014 09:42
    URI: http://eprints.dinus.ac.id/id/eprint/8119

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