| Summary: | 碩士 === 國立政治大學 === 資訊科學學系 === 98 === With the evolution over time, people start to know the importance of taking their knowledge and experience into literature texts and preserving them for future research. Until now, academic writing research papers mainly in English become the world’s leading communication media all over the world. For those non-native English researchers, they often encounter with the inappropriate vocabularies or collocations which causes them not to pass on their idea accurately or to express their research poorly. As a result, it’s very important to know how to learn or to use the correct academic writing in English vocabularies and collocations.
In this study, we constructed the real academic thesis corpus which includes different countries and fields of academic research. The keyword extraction technique based on the several Part-of-Speech tag patterns is used for capturing the common academic writing vocabulary candidates in the academic works to be the initial result of the common vocabulary of academic writing. The candidate words would be introduced to the index analysis model of keyword and be picked out to the further meaningful candidate words according to the index characteristics.
For the experiments, the sample data with different fields would be filtered and the vocabularies on different fields of commonality would be analyzed and verified through statistical methods. Moreover, the auxiliary filter mechanism would also be applied to get the common vocabularies in academic writing with nouns and verbs. Based on these vocabularies, we could discover the common combination with the words in the academic thesis corpus and provide them to the non-native English researchers and students as a reference with the common vocabularies and collocations in academic writing. Hopefully the study could help them to write more rich and correct research papers in the future.
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