Improving the Morphological Analysis of Classical Sanskrit
Oliver Hellwig · International Conference on Computational Linguistics · 2016
The paper describes a new tagset for the morphological disambiguation of Sanskrit, and compares the accuracy of two machine learning methods (Conditional Random Fields, deep recurrent neural networks) for this task, with a special focus on how to model the lexicographic information. It reports a significant improvement over previously published results.