@inproceedings{kumar-bora-2018-part,
    title = "Part-of-Speech Annotation of {E}nglish-{A}ssamese code-mixed texts: Two Approaches",
    author = "Kumar, Ritesh  and
      Bora, Manas Jyoti",
    editor = "Sinha, Manjira  and
      Dasgupta, Tirthankar",
    booktitle = "Proceedings of the First International Workshop on Language Cognition and Computational Models",
    month = aug,
    year = "2018",
    address = "Santa Fe, New Mexico, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/W18-4110/",
    pages = "94--103",
    abstract = "In this paper, we discuss the development of a part-of-speech tagger for English-Assamese code-mixed texts. We provide a comparison of 2 approaches to annotating code-mixed data {--} a) annotation of the texts from the two languages using monolingual resources from each language and b) annotation of the text through a different resource created specifically for code-mixed data. We present a comparative study of the efforts required in each approach and the final performance of the system. Based on this, we argue that it might be a better approach to develop new technologies using code-mixed data instead of monolingual, `clean' data, especially for those languages where we do not have significant tools and technologies available till now."
}