Name
Title | ||
|---|---|---|
An adaptive vocabulary learning application through modeling learner's linguistic proficiency and interests |
Abstract | ||
|---|---|---|
This paper introduces a vocabulary learning application called “Avocado” that aims to provide suitable learning materials to learners by modeling their language proficiency and topical interests. A learner's vocabulary level is estimated through aggregating words that he identifies as difficult in given text passages; and his topical interests are gathered by utilizing the social network (Facebook) profile. The application recommends a set of recent news articles that are 1) at an appropriate level to the learner, and 2) closely related to the topics that he finds interesting. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/BIGCOMP.2017.7881751 | 2017 IEEE International Conference on Big Data and Smart Computing (BigComp) |
Keywords | Field | DocType |
word difficulty,vocabulary learning,user adaptation | Language proficiency,Vocabulary learning,Social network,Computer science,Natural language processing,Artificial intelligence,Vocabulary,Linguistics | Conference |
ISSN | ISBN | Citations |
2375-933X | 978-1-5090-3016-3 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zae Myung Kim | 1 | 5 | 4.21 |
| Suin Kim | 2 | 108 | 9.34 |
| Alice Oh | 3 | 638 | 57.85 |
| Ho-Jin Choi | 4 | 280 | 53.61 |