@inproceedings{l-r-etal-2019-parts,
    title = "Parts of Speech Tagging for {K}annada",
    author = "L R, Swaroop  and
      Gowda G S, Rakshith  and
      U, Sourabh  and
      Hegde, Shriram",
    editor = "Kovatchev, Venelin  and
      Temnikova, Irina  and
      {\v{S}}andrih, Branislava  and
      Nikolova, Ivelina",
    booktitle = "Proceedings of the Student Research Workshop Associated with RANLP 2019",
    month = sep,
    year = "2019",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd.",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/R19-2005/",
    doi = "10.26615/issn.2603-2821.2019_005",
    pages = "28--31",
    abstract = "Parts of speech (POS) tagging is the process of assigning the part of speech tag to each and every word in a sentence. In this paper, we have presented POS tagger for Kannada, a low resource south Asian language, using Condition Random Fields. POS tagger developed in the work uses novel features native to Kannada language. The novel features include Sandhi splitting, where a compound word is broken down into two or more meaningful constituent words. The proposed model is trained and tested on the tagged dataset which contains 21 thousand sentences and achieves a highest accuracy of 94.56{\%}."
}