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A corpus-driven investigation into lexical bundles across research articles in Food Science and Technology | ||
| Journal of Modern Research in English Language Studies | ||
| مقاله 1، دوره 3، شماره 1، اردیبهشت 2016، صفحه 30-1 اصل مقاله (335.06 K) | ||
| نویسندگان | ||
| Rajab Esfandiari1؛ Ghodsieh Tavakoli Moein2 | ||
| 1Associate Professor, Imam Khomeini International University, Qazvin | ||
| 2MA in ELT, Islamic Azad University, Qazvin branch | ||
| تاریخ دریافت: 06 تیر 1395، تاریخ پذیرش: 06 تیر 1395 | ||
| چکیده | ||
| The purpose of this study was twofold: (a) to identify the most frequent 4-word lexical bundles and (b) to analyse the functions these lexical bundles may serve. To those ends, a corpus of 4,652,444 in Food Science and Technology (hereafter FST Corpus) was developed, using 1,421 research articles (RAs) across 38 Food Science and Technology (FST) journals. Setting frequency and range as two criteria, we used AntConc to identify the most frequent lexical bundles. We also used Hyland’s (2008b) functional taxonomy to analyse the functions of the lexical bundles. The results of frequency and range showed 153 lexical bundles in FST Corpus. Functional analysis of the lexical bundles revealed 86 text-oriented, 63 research-oriented, and four participant-oriented lexical bundles, suggesting the central role text-oriented functions may play in FST. Implications for the explicit instruction of lexical bundles, for graduate students in FST, and for EAP curriculum developers and materials producers are discussed. | ||
| کلیدواژه‌ها | ||
| Lexical bundles؛ corpus؛ Food Science and Technology؛ range | ||
| عنوان مقاله [English] | ||
| بررسی پیکره محوری خوشه های لغوی در مقالات تحقیقی در رشته تکنولوژی صنایع غذایی | ||
| نویسندگان [English] | ||
| رجب اسفندیاری1؛ قدسیه توکلی معین2 | ||
| 1استادیار گروه زبان انگلیسی دانشگاه بین المللی امام خمینی (ره) | ||
| 2کارشناسی ارشد، دانشگاه آزاد اسلامی واحد قزوین | ||
| چکیده [English] | ||
| این کار تحقیقاتی دو هدف عمده را دنبال می کرد: 1. شناسایی پر بسامد ترین خوشه های لغوی چهار کلمه ای و 2. برسی نقش هایی که این خوشه ها می توانند داشته باشند. به همین منظور، یک پیکره 4.7 میلیون کلمه ای مشکل از 1421 مقاله تحقیقاتی از 38 مجله در رشته تکنولوژی صنایع غذایی تشکیل شد. دو معیار برای شناسایی خوشه های لغوی در نظر گرفته شد که عبارتند از بسامد و پراکندگی. از نرم افزار آنت کونک برای تحلیل داد ها استفاده شد. برای بررسی نقش خوشه های لغوی از مدل هایلند (2008) استفاده شد. نتایج تحلیل داده ا با دو معیار بسامد و پراکندگی، شناسایی 153 خوشه های لغوی در پیکره تکنولوژی و صنایع غذایی بود. برسی نقش خوشه های لغوی نشان داد که 86 تا از خوشه های لغوی نقش متنی داشتند، 63 تا نقش پژوهشی داشتند، و چهار تا نقش فردی داشتند. از نتایج این تحقیق می توان در تدریس صریح خوش های لغوی در در سهای نوشتن برای دانشجویان رشته تکنولوژی صنایع غذایی استفاده کرد. | ||
| کلیدواژه‌ها [English] | ||
| خوشه های لغوی, پیکره, رشته تکنولوژی صنایع غذایی, پراکندگی | ||
| مراجع | ||
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