Rapid Parser Development: A Machine Learning Approach for Korean
| Author(s) : | Ulf Hermjakob, |
| Publisher : | N/A |
| Publication Date : | 2000 |
| ISSN : | N/A |
| Abstract : | This paper demonstrates that machine learning is a suitable approach for rapid parser development. From 1000 newly treebanked Korean sentences we generate a deterministic shift-reduce parser. The quality of the treebank, particularly crucial given its small size, is supported by a consistency checker. 1, |