High precision treebanking - blazing useful trees using POS information

• Main Authors: Tanaka, Takaaki, Bond, Francis, Oepen, Stephan, Fujita, Sanae
• Other Authors: School of Humanities and Social Sciences
• Format: Conference or Workshop Item
• Language: English
• Published: 2011
• Subjects: DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics
• Online Access: https://hdl.handle.net/10356/79569; http://hdl.handle.net/10220/6820
• Institution: Nanyang Technological University

In this paper we present a quantitative and qualitative analysis of annotation in the Hinoki treebank of Japanese, and investigate a method of speeding annotation by using part-of-speech tags. The Hinoki treebank is a Redwoods-style treebank of Japanese dictionary de nition sentences. 5,000 sentences are annotated by three different annotators and the agreement evaluated. An average agreement of 65.4% was found using strict agreement, and 83.5% using labeled precision. Exploiting POS tags allowed the annotators to choose the best parse with 19.5% fewer decisions.