Interactive Word Completion for Plains Cree
William Lane, Atticus G. Harrigan, Antti Arppe · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · 2022
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.