| dc.description.abstract | This research discusses word frequency and collocation in Malala's discourse. This thesis aims to identify the language used in the discourse, such as word frequencies, and to analyze collocations in order to convey the message of the data. The theory supporting this thesis is corpus analysis theory, which focuses on open procedures and methods for studying language. This thesis applies a qualitative method. The data source for this thesis is a speech transcript from three speeches by Malala Yousafzai, an activist in education and empowerment for women, taken from a Google search engine. The data is analyzed using AntConc as a corpus tool and Analyse Writing tool to examine the content and function words. The researcher limits the analysis to words related to women and education. The most frequently used words in the speeches are: education, girls, school, and women. The results of this thesis show that there are 708 word types in total, with 408 word types in text 1, 296 word types in text 2, and 279 in text 3. There are 30 frequencies of "education," 26 frequencies of "girls," 21 frequencies of "women," 14 frequencies of "school," 8 frequencies of "rights," and 4 frequencies of "change." There are 8 nouns, 7 verbs, 2 adverbs, and 5 adjectives in all of Malala's speeches as the results of the collocation analysis. | en_US |
