A Mapudüngun FST Morphological Analyser and its Web Interface

Andrés Chandía


Abstract
This paper describes the development and evaluation of a FST-based analyser-generator for Mapudüngun language, which is publicly available through a web interface. As far as we know, it is the first system of this kind for Mapudüngun. Following the Mapuche grammar by Smeets, we have developed a machine including the morphological and phonological aspects of Mapudüngun. 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.
Anthology ID:
2022.lrec-1.702
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
6540–6547
Language:
URL:
https://aclanthology.org/2022.lrec-1.702
DOI:
Bibkey:
Cite (ACL):
Andrés Chandía. 2022. A Mapudüngun FST Morphological Analyser and its Web Interface. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 6540–6547, Marseille, France. European Language Resources Association.
Cite (Informal):
A Mapudüngun FST Morphological Analyser and its Web Interface (Chandía, LREC 2022)
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PDF:
https://aclanthology.org/2022.lrec-1.702.pdf