@inproceedings{hellwig-2016-improving,
    title = "Improving the Morphological Analysis of Classical {S}anskrit",
    author = "Hellwig, Oliver",
    editor = "Wu, Dekai  and
      Bhattacharyya, Pushpak",
    booktitle = "Proceedings of the 6th Workshop on South and Southeast {A}sian Natural Language Processing ({WSSANLP}2016)",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://preview.aclanthology.org/fix-sig-urls/W16-3715/",
    pages = "142--151",
    abstract = "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."
}