Interactive Word Completion for Plains Cree

William Lane, Atticus Harrigan, Antti Arppe


Abstract
The composition of richly-inflected words in morphologically complex languages can be a challenge for language learners developing literacy. Accordingly, Lane and Bird (2020) proposed a finite state approach which maps prefixes in a language to a set of possible completions up to the next morpheme boundary, for the incremental building of complex words. In this work, we develop an approach to morph-based auto-completion based on a finite state morphological analyzer of Plains Cree (nêhiyawêwin), showing the portability of the concept to a much larger, more complete morphological transducer. Additionally, we propose and compare various novel ranking strategies on the morph auto-complete output. The best weighting scheme ranks the target completion in the top 10 results in 64.9% of queries, and in the top 50 in 73.9% of queries.
Anthology ID:
2022.acl-long.232
Volume:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
May
Year:
2022
Address:
Dublin, Ireland
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3284–3294
Language:
URL:
https://aclanthology.org/2022.acl-long.232
DOI:
10.18653/v1/2022.acl-long.232
Bibkey:
Cite (ACL):
William Lane, Atticus Harrigan, and Antti Arppe. 2022. Interactive Word Completion for Plains Cree. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 3284–3294, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
Interactive Word Completion for Plains Cree (Lane et al., ACL 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.acl-long.232.pdf