Title :
Sentence difficulty evaluation for a learner´s dictionary
Author :
Kroeger, Emile ; Sun, Maosong
Author_Institution :
Dept. of Comput. Sci., Tsinghua Univ., Beijing, China
fDate :
30 Oct.-1 Nov. 2005
Abstract :
In order to choose the best example sentences for Chinese language learners, we have compared how well different methods of estimating difficulty (reading time, translation time, direct rating) could be approximated from a sentence´s superficial features. We have found that direct rating of difficulty by a user is the most promising, and that character-based features allow for better evaluation than word-based ones, all of which bodes well for user-tailored learner´s dictionaries.
Keywords :
computer aided instruction; dictionaries; linguistics; natural languages; Chinese language learners; character-based features; sentence difficulty evaluation; sentence superficial features; user-tailored learner dictionaries; Computer science; Dictionaries; Explosions; Frequency; Information filtering; Information filters; Internet; Natural languages; Sun; Vocabulary; Applications in Education; Corpora Linguistics; Lexical Resources and Corpora;
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on
Print_ISBN :
0-7803-9361-9
DOI :
10.1109/NLPKE.2005.1598822