Automatic Classification and Comparison of Words by Difficulty.

Vocabulary knowledge is essential for both native and foreign language learning. Classifying words by difficulty helps students develop better in different stages of study and gives teachers the standard to adhere to when preparing tutorials. However, classifying word difficulty is time-consuming and labor-intensive. In this paper, we propose to classify and compare the word difficulty by analyzing multi-faceted features, including intra-word, syntactic and semantic features. The results show that our method is robust against different language environments.