ANALYZING THE DIFFICULTY OF ENGLISH ARTICLE WITH MACHINE LEARNING APPROACH

English is the most popular language for people to communicate with each other around the world. However, there are few ways to determine what English articles are suitable for you, especially for those English as a Foreign Language (EFL). This study presents a machine learning approach to classify the difficulty of English articles with some parameters. These articles comes from junior, an senior high text books, and advanced English magazine in Taiwan, and are used to build a model to compare with some well-known English Reading comparison techniques. Experimental result reveals that the proposed method is better than the traditional predicting readability of English articles.