@inproceedings{adouane-etal-2016-asirem,
    title = "{ASIREM} Participation at the Discriminating Similar Languages Shared Task 2016",
    author = "Adouane, Wafia  and
      Semmar, Nasredine  and
      Johansson, Richard",
    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/fix-sig-urls/W16-4821/",
    pages = "163--169",
    abstract = "This paper presents the system built by ASIREM team for the Discriminating between Similar Languages (DSL) Shared task 2016. It describes the system which uses character-based and word-based n-grams separately. ASIREM participated in both sub-tasks (sub-task 1 and sub-task 2) and in both open and closed tracks. For the sub-task 1 which deals with Discriminating between similar languages and national language varieties, the system achieved an accuracy of 87.79{\%} on the closed track, ending up ninth (the best results being 89.38{\%}). In sub-task 2, which deals with Arabic dialect identification, the system achieved its best performance using character-based n-grams (49.67{\%} accuracy), ranking fourth in the closed track (the best result being 51.16{\%}), and an accuracy of 53.18{\%}, ranking first in the open track."
}