ACADEMIC WORDS IN ABSTRACT OF UNDERGRADUATE THESIS

Abstract

Abstract

Corpus linguistics is the study of language data on a large scale, computerization data analysis of extensive collections of written texts. This study is a academic words in abstract of undergraduate thesis of English Language Education Study Program, Teacher Training Facutly, Tanjungpura University, submitted in year 2012-2016, using AntConc Program. There are six (6) research questions raise in this study; (1) the categories of POS tagset; (2) the most dominant POS tagset; (3) The most dominant academic word; (4) the role of AWL in students"™ abstract; (5) the most dominant AWL sublist; and (6) the comparison between AWL and non-AWL. The findings are; (1) there are 31 types of Tree Tagger tagset and Brown Corpus Tagset; 11710 tokens (18,2%) for Noun, 8198 tokens (12,8%) for Determiners, 5289 tokens (8,2%) for Preposition, 4075 tokens (7,3%) for Verb, 2410 tokens (3,7%) for Adjective, 809 tokens (1,3%) for Conjunction, 527 tokens (0,85%) for adverb, 2 tokens (0,003%) for Interjection; (2) NN as the most frequent tagset, (3) the most frequent academic word is Research, (4) only 0,00522% or 183 types of academic words used by undergraduate students, (5) sublist 1 as the most frequent sublist used, and (6) there are 1974 non-academic words used. There are 208 corpora which are gathered from UP4I since 2012-2016.This research is useful for English Language teacher in examine their students"™ writing easily, especially focus on concordance entirely and lexical study. It leads to more principled classroom materials and activities and lead students to have best understanding on language analysis.

Keywords: Corpus linguistics, Lexical study, AWL