Towards A Robust Morphological Analyzer for Kunwinjku

William Lane, Steven Bird

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review

12 Citations (Scopus)

Abstract

Kunwinjku is a polysynthetic language spoken in northern Australia. Members of the community have expressed interest in co-developing language applications which could assist in the production of written language resources for education and language learning. Modelling Kunwinjku morphology is a step towards accomplishing these goals. We discuss some of the modeling challenges presented by Kunwinjku verbal morphology, and in polysynthetic languages more generally. We show that a model using standard features of the Foma toolkit can account for much of the verb structure. Our contributions include the first morphological analyzer for Kunwinjku, and a discussion of polysynthetic language features and how they affect modelling decisions. Continuing challenges include robustness in the face of variation and unseen vocabulary, as well as how to handle complex reduplicative processes.

Original languageEnglish
Title of host publicationProceedings of the Australasian Language Technology Workshop
PublisherAustralasian Language Technology Association
Pages1-10
Number of pages10
Volume17
Publication statusPublished - 2019
Event17th Annual Workshop of the Australasian Language Technology Association, ALTA 2019 - Sydney, Australia
Duration: 4 Dec 20196 Dec 2019

Publication series

NameProceedings of the Australasian Language Technology Workshop
ISSN (Print)1834-7037

Conference

Conference17th Annual Workshop of the Australasian Language Technology Association, ALTA 2019
Country/TerritoryAustralia
CitySydney
Period4/12/196/12/19

Bibliographical note

Publisher Copyright:
© 2019, Australasian Language Technology Association. All rights reserved.

Fingerprint

Dive into the research topics of 'Towards A Robust Morphological Analyzer for Kunwinjku'. Together they form a unique fingerprint.

Cite this