Lexical bundles are defined as sequences of three or more words that show a statistical tendency to occur together in a register. This study focuses on identifying the frequency, structure, and function of lexical clusters in three types of articles, namely Education, Science and Politics. This research is a corpusbased research with an inductive approach. Corpus of data. The results showed that science-themed articles had the highest percentage of lexical bundles reaching 65.22% compared to articles on education and government, which means science articles used the most lexical bundles in their writing. Followed by articles with the theme of Education with 26.88% and articles with the theme of government having the least percentage of lexical bundles, which is 8.7%. There are 2 categories of lexical bundles that can be identified in science-themed articles, namely noun phrases with the affix of, and prepositional phrases with the affix of, while 3 types of lexical bundles in articles with the theme of Education are prepositions with the affix of and others, and the category of lexical bundles "other". And 2 types in the articles on government themes, namely prepositions with the affix of and the type of lexical bundle "other" or others. In this study, there were no lexical bundles with the structure of noun phrases with affixes other than of, and the lexical bundle was "verb-based". So it is necessary to do further research with articles on the theme of Education, science and government.

No abstract