Abstract
This study examines a method we constructed to analyze words used to form sentences in the English language by applying information-processing technology. In order to develop effective methods to increase students' vocabulary, we have been conducting research on introducing information-processing technology in English language education. In this study, we developed a program that deconstructs sentences in English into words using the Visual Basic for Applications (VBA) of Excel as the programming language. TreeTagger, a morphological analysis tool, was used to render words in their basic form. Linking this program to our vocabulary database, which was developed in a separate study, enabled us to choose the important words based on frequency analysis. To evaluate the efficiency of this method, an experiment was conducted using a certified English textbook. The results of the experiment show that this method is effective in analyzing different parts of speech and frequency of word usage in sentences, and the analysis takes a short amount of time.
