@inproceedings{ozenc-etal-2018-moraz,
    title = "{M}or{A}z: an Open-source Morphological Analyzer for {A}zerbaijani {T}urkish",
    author = {{\"O}zen{\c{c}}, Berke  and
      Ehsani, Razieh  and
      Solak, Ercan},
    editor = "Blanco, Eduardo  and
      Lu, Wei",
    booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = nov,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/D18-2005/",
    doi = "10.18653/v1/D18-2005",
    pages = "25--29",
    abstract = "MorAz is an open-source morphological analyzer for Azerbaijani Turkish. The analyzer is available through both as a website for interactive exploration and as a RESTful web service for integration into a natural language processing pipeline. MorAz implements the morphology of Azerbaijani Turkish in two-level using Helsinki finite-state transducer and wraps the analyzer with python scripts in a Django instance."
}