Automatic Verb Classifier for Abui (AVC-abz)

0561726 - ÚTIA 2023 RIV FR eng C - Konferenční příspěvek (zahraniční konf.)
Kratochvíl, F. - Saad, G. - Vomlel, Jiří - Kratochvíl, Václav
Automatic Verb Classifier for Abui (AVC-abz).
Proceedings of the Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia within the 13th Language Resources and Evaluation Conference. Paris: European Language Resources Association, 2022, s. 42-50. ISBN 978-2-493814-07-4.
[Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia. Marseille (FR), 20.06.2022-25.06.2022]
Grant CEP: GA ČR GA20-18407S
Institucionální podpora: RVO:67985556
Klíčová slova: automatic verb classifier * endangered languages * head-marking languages * Papuan
Obor OECD: Linguistics
http://library.utia.cas.cz/separaty/2022/MTR/vomlel-0561726.pdf

We present an automatic verb classifier system that identifies inflectional classes in Abui (AVC-abz), a Papuan language of the Timor-Alor-Pantar family. The system combines manually annotated language data (the learning set) with the output of a morphological precision grammar (corpus data). The morphological precision grammar is trained on a fully glossed smaller corpus and applied to a larger corpus. Using the k-means algorithm, the system clusters inflectional classes discovered in the learning set. In the second step, Naive Bayes algorithm assigns the verbs found in the corpus data to the best-fitting cluster. AVC-abz serves to advance and refine the grammatical analysis of Abui as well as to monitor corpus coverage and its gradual improvement.
Trvalý link: https://hdl.handle.net/11104/0335178