@inproceedings{yirmibesoglu-eryigit-2018-detecting,
    title = "Detecting Code-Switching between {T}urkish-{E}nglish Language Pair",
    author = {Yirmibe{\c{s}}o{\u{g}}lu, Zeynep  and
      Eryi{\u{g}}it, G{\"u}l{\c{s}}en},
    editor = "Xu, Wei  and
      Ritter, Alan  and
      Baldwin, Tim  and
      Rahimi, Afshin",
    booktitle = "Proceedings of the 2018 {EMNLP} Workshop W-{NUT}: The 4th Workshop on Noisy User-generated Text",
    month = nov,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/W18-6115/",
    doi = "10.18653/v1/W18-6115",
    pages = "110--115",
    abstract = "Code-switching (usage of different languages within a single conversation context in an alternative manner) is a highly increasing phenomenon in social media and colloquial usage which poses different challenges for natural language processing. This paper introduces the first study for the detection of Turkish-English code-switching and also a small test data collected from social media in order to smooth the way for further studies. The proposed system using character level n-grams and conditional random fields (CRFs) obtains 95.6{\%} micro-averaged F1-score on the introduced test data set."
}