Name
Abstract | ||
|---|---|---|
We present a computer-assisted learning system, Jastudy(1), which is particularly designed for Chinese-speaking learners of Japanese as a second language (JSL) to learn Japanese functional expressions with suggestion of appropriate example sentences. The system automatically recognizes Japanese functional expressions using a free Japanese morphological analyzer MeCab, which is retrained on a Conditional Random Fields (CRF) model. In order to select appropriate example sentences, we apply Support Vector Machines for Ranking (SVMrank) to estimate the complexity of the example sentences using Japanese-Chinese homographs as an important feature. In addition, we cluster the example sentences that contain Japanese functional expressions to discriminate different meanings and usages, based on part-of-speech, conjugation forms and semantic attributes, using the k-means clustering algorithm. Experimental results demonstrate the effectiveness of our approach. |
Year | Venue | Field |
|---|---|---|
2018 | 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2018): PROCEEDINGS OF SYSTEM DEMONSTRATIONS | Expression (mathematics),Computer science,Natural language processing,Artificial intelligence,Sentence |
DocType | Volume | Citations |
Conference | P18-4 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Liu | 1 | 0 | 0.34 |
| Hiroyuki Shindo | 2 | 75 | 13.80 |
| Yuji Matsumoto | 3 | 27 | 12.98 |