@inproceedings{shah-etal-2019-cossat,
    title = "{C}o{SSAT}: Code-Switched Speech Annotation Tool",
    author = "Shah, Sanket  and
      Joshi, Pratik  and
      Santy, Sebastin  and
      Sitaram, Sunayana",
    editor = "Paun, Silviu  and
      Hovy, Dirk",
    booktitle = "Proceedings of the First Workshop on Aggregating and Analysing Crowdsourced Annotations for NLP",
    month = nov,
    year = "2019",
    address = "Hong Kong",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/D19-5907/",
    doi = "10.18653/v1/D19-5907",
    pages = "48--52",
    abstract = "Code-switching refers to the alternation of two or more languages in a conversation or utterance and is common in multilingual communities across the world. Building code-switched speech and natural language processing systems are challenging due to the lack of annotated speech and text data. We present a speech annotation interface CoSSAT, which helps annotators transcribe code-switched speech faster, more easily and more accurately than a traditional interface, by displaying candidate words from monolingual speech recognizers. We conduct a user study on the transcription of Hindi-English code-switched speech with 10 annotators and describe quantitative and qualitative results."
}