Name
Title | ||
|---|---|---|
Exploiting Syntactic Similarities for Preposition Error Corrections on Indonesian Sentences Written by Second Language Learner. |
Abstract | ||
|---|---|---|
We propose a method to artificially generate training data to correct preposition errors in Indonesian sentences written by second language learners. Basically, we injected large size of native sentences with preposition errors learned from learners’ sentences. Our method copies a preposition error from a learner sentence to a native sentence by firstly calculating a syntactic similarity score between the native sentence and the learners’ sentence. Then, it chooses the preposition error from the learner sentence that has the highest syntactic similarity score to the native sentence, to replace the original preposition in the native sentence. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.procs.2016.04.052 | Procedia Computer Science |
Keywords | Field | DocType |
Artificial training data,Indonesian language,preposition error correction,syntactic similarities,under-resource language | Training set,Computer science,Second language,Speech recognition,Artificial intelligence,Natural language processing,Indonesian,Syntax,Sentence,Inverted sentence | Conference |
Volume | ISSN | Citations |
81 | 1877-0509 | 1 |
PageRank | References | Authors |
0.37 | 11 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Budi Irmawati | 1 | 1 | 0.37 |
| Hiroyuki Shindo | 2 | 75 | 13.80 |
| yuji matsumoto | 3 | 3008 | 300.05 |