@inproceedings{chandia-2022-mapudungun,
    title = {A Mapud{\"u}ngun {FST} Morphological Analyser and its Web Interface},
    author = "Chand{\'i}a, Andr{\'e}s",
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.lrec-1.702/",
    pages = "6540--6547",
    abstract = {This paper describes the development and evaluation of a FST-based analyser-generator for Mapud{\"u}ngun language, which is publicly available through a web interface. As far as we know, it is the first system of this kind for Mapud{\"u}ngun. Following the Mapuche grammar by Smeets, we have developed a machine including the morphological and phonological aspects of Mapud{\"u}ngun. Through this computational approach we have produced a finite state morphological analyser-generator capable of classifying and appropriately tagging all the components (roots and suffixes) interacting in a Mapuche word-form. A double evaluation has been carried out showing a good level of reliability. In order to face the lack of standardization of the language, additional components (an enhanced analyser, a spelling unifier and a root guesser) have been integrated in the tool. The generated corpora, the lexicons and the FST grammars are available for further development and comparison results.}
}