Semi-Semantic Part of Speech Annotation and Evaluation
Qaiser Abbas · 2014
This paper presents the semi-semantic part of speech annotation and its evaluation via Krippendorff's α for the URDU.KON-TB treebank developed for the South Asian language Urdu.The part of speech annotation with the additional subcategories of morphology and semantics provides a treebank with sufficient encoded information.The corpus used is collected from the Urdu Wikipedia and news papers.The sentences were annotated manually to ensure a high annotational quality.The inter-annotator agreement obtained after evaluation is 0.964, which lies in the range of perfect agreement on a scale.Urdu is comparatively an under-resourced language and the development of the treebank with rich part of speech annotation will have significant impact on the state-of-the-art for Urdu language processing.