DocumentCode :
257029
Title :
A corpus-based analysis of the scientific RA genre and RA introduction
Author :
Louvigne, Sebastien ; Jie Shi ; Sharmin, Sonia
Author_Institution :
Grad. Sch. of Inf. Syst., Univ. of Electro-Commun., Tokyo, Japan
fYear :
2014
fDate :
10-12 Aug. 2014
Firstpage :
123
Lastpage :
127
Abstract :
The Research Article (RA) is an important and challenging academic genre as it contains multiple parts such as introduction, methodology, results, analysis/discussion of findings, and conclusion. Each part contains one or more subgenres. Hence, although essential for teaching, learning and applications, genre-based analysis of the RA is generally considered to be very difficult in nature because of its complexity. Without sufficient genre and linguistic knowledge of the RA, English Foreign Language (EFL) students and researchers are not able to employ the correct structure or organization and appropriate linguistic/language expressions for clear communication of their ideas. The purpose of this study is threefold: to determine the linguistic features of the common moves in the “Introduction” section (i.e. a sub-genre of the RA) using corpus analysis, to compare with the linguistic features of the whole RA, and to compare the use of rhetorical moves in the “Introduction” with previous results on “Abstracts” of academic conference RAs. The rationale for focusing on the “Introduction” is that beginner EFL writers generally find it difficult for composition as it contains several stages which may be flexible in order, content and quantity. 543 RAs from the Journal of Optics (from 1997 to 2001, as the first part of a longitudinal study) were analyzed in this research. The main methods utilized were mining for data collection and corpus-based analysis of genre-based linguistic features (e.g. lexicon list, n-gram).
Keywords :
data mining; linguistics; natural language processing; EFL; English foreign language; RA introduction; academic genre; corpus analysis; corpus-based analysis; data collection mining; genre-based analysis; genre-based linguistic features; language expressions; learning; linguistic expressions; research article; scientific RA genre; teaching; Abstracts; Data mining; Educational institutions; Feature extraction; Laser applications; Optical filters; Pragmatics; corpus-based analysis; data mining; genre; research article;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Mechatronic Systems (ICAMechS), 2014 International Conference on
Conference_Location :
Kumamoto
Type :
conf
DOI :
10.1109/ICAMechS.2014.6911636
Filename :
6911636
Link To Document :
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