Estimating Word Difficulty Using Semantic Descriptions in Dictionaries and Web Data

Identifying of word difficulty is useful to teachers and language learners. However, since the word difficulty has not been evaluated in all dictionary entry words, to estimate the word difficulty of documents and presentations from the aspects of language use is difficult. As fundamental research, we are attempting to evaluate the word difficulty from native and non-native learners. In the estimation of the word difficulty, we use semantic description in dictionary and Web descriptions by the result of search engine to create learning parameter, then all dictionary entry words are estimated the word difficulty by using multiclass support vector machine.