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An analysis of acadmic lexical bundles in English language reserarch articles published in Indonesian journals

ALLYDA ULFA NAFI'AH - Nama Orang;

Publishing research articles in a journal needs special attention and effort One crucial factor to achieve a successful writing of research articles is an organized structure of every section. In order to construct and structure the writing of its various section in research articles. The author's knowledge of lexical bundles is necessary. Consequently, the present study attempts to discover the manifestation of lexical bundles in academic discourse research in all subgenre parts. primary focus of this study is seeking each representation of four-word bundles across the text. For this aim, a corpus of 360 texts was collected containing published research articles of SINTA indexed journal

Quantitative and qualitative analyses were employed in this study in order to analyze the lexical bundles. By using AntCone software, the criteria setting for lexical bundles identification is the frequency of at least 40 cases per million words and in at least 10% of texts fall into quantitative part. Next, the qualitative analysis includes classiffication of the identified bundle structurally and functionally.

Analysis reveals 144 marked variations of lexical bundles. Additionally, the distribution category in each division of structure and function taxonomy was applied differently across the writers of published research articles. Furthermore, the results of the present study provide insight for how lexical bundles are utilized in a research article. Thus, the awareness of academic lexical bundles offers an important means in language use


Ketersediaan
#
Perpustakaan IAIN Kediri KT TBI-21 013
2176013
Tersedia namun tidak untuk dipinjamkan - No Loan
Informasi Detail
Judul Seri
-
No. Panggil
KT TBI-21 013
Penerbit
Kediri : IAIN Kediri., 2021
Deskripsi Fisik
xi, 53 hlm., 29 cm.
Bahasa
English
ISBN/ISSN
-
Klasifikasi
KT TBI-21
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
Ed. 1, cet. 1
Subjek
Corpus-driven research
Lexical bundles
Reserach articles
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Tesis Mhs. S2 (NIM. 92600319005)
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Tidak tersedia versi lain

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