특수목적영어로서 해양플랜트영어코퍼스구축 및 활용
A Compilation of an Offshore English Corpus as English for Specific Purposes
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The aim of this study is to compile an Offshore English corpus as English for specific purposes and develop an online web concordance program for learners of Offshore English. The Offshore English Corpus(OEC) was comprised of one hundred million words. It includes four major genres such as academy, news, law, training and consulting texts to represent this field. In order to compile the OEC, we consulted with some experts of academic and industry fields in offshore industry. For building the large corpus, we used natural language processing tools such as Python tool kits and created customized Python programs to automatically extract a lot of texts from various Web sites and PDF files. Unnecessary symbols and characters are eliminated through filtering process. Along with the Python program, we used free softwares such as Wget for crawling texts from various Web sites and nPDF for extracting only texts. After building the OEC, we developed an online web concordance program with which learners of Offshore English can search for collocations, genres, and concordances. This study will be expected to contribute not only to Offshore English education but also to other ESP education fields
Abstract
The aim of this study is to compile an Offshore English corpus as English for specific purposes and develop an online web concordance program for learners of Offshore English. The Offshore English Corpus(OEC) was comprised of one hundred million words. It includes four major genres such as academy, news, law, training and consulting texts to represent this field. In order to compile the OEC, we consulted with some experts of academic and industry fields in offshore industry. For building the large corpus, we used natural language processing tools such as Python tool kits and created customized Python programs to automatically extract a lot of texts from various Web sites and PDF files. Unnecessary symbols and characters are eliminated through filtering process. Along with the Python program, we used free softwares such as Wget for crawling texts from various Web sites and nPDF for extracting only texts. After building the OEC, we developed an online web concordance program with which learners of Offshore English can search for collocations, genres, and concordances. This study will be expected to contribute not only to Offshore English education but also to other ESP education fields
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