A novel approach to morphological disambiguation for Turkish
Citation
Görgün, O. & Yıldız, O. T. (2012). A novel approach to morphological disambiguation for Turkish. Paper presented at the Computer and Information Sciences II, 77-83. doi:10.1007/978-1-4471-2155-8-9Abstract
In this paper, we propose a classification based approach to the morphological disambiguation for Turkish language. Due to complex morphology in Turkish, any word can get unlimited number of affixes resulting very large tag sets. The problem is defined as choosing one of parses of a word not taking the existing root word into consideration. We trained our model with well-known classifiers using WEKA toolkit and tested on a common test set. The best performance achieved is 95.61% by J48 Tree classifier.
