Rapid Parser Development: A Machine Learning Approach for Korean

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.

• Type: Conference
• Year: 2000
• Where: ANLP
• Authors: Ulf Hermjakob
• Keywords: ANLP 2000, Deterministic Shift-reduce Parser, Rapid Parser Development, Treebanked Korean Sentences