@inproceedings{herman-etal-2016-dsl,
    title = "{DSL} Shared Task 2016: Perfect Is The Enemy of Good Language Discrimination Through Expectation{--}Maximization and Chunk-based Language Model",
    author = "Herman, Ond{\v{r}}ej  and
      Suchomel, V{\'i}t  and
      Baisa, V{\'i}t  and
      Rychl{\'y}, Pavel",
    editor = {Nakov, Preslav  and
      Zampieri, Marcos  and
      Tan, Liling  and
      Ljube{\v{s}}i{\'c}, Nikola  and
      Tiedemann, J{\"o}rg  and
      Malmasi, Shervin},
    booktitle = "Proceedings of the Third Workshop on {NLP} for Similar Languages, Varieties and Dialects ({V}ar{D}ial3)",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/W16-4815/",
    pages = "114--118",
    abstract = "In this paper we investigate two approaches to discrimination of similar languages: Expectation{--}maximization algorithm for estimating conditional probability P(word|language) and byte level language models similar to compression-based language modelling methods. The accuracy of these methods reached respectively 86.6{\%} and 88.3{\%} on set A of the DSL Shared task 2016 competition."
}