@inproceedings{lane-etal-2022-interactive,
title = "Interactive Word Completion for {P}lains {C}ree",
author = "Lane, William and
Harrigan, Atticus and
Arppe, Antti",
editor = "Muresan, Smaranda and
Nakov, Preslav and
Villavicencio, Aline",
booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.acl-long.232",
doi = "10.18653/v1/2022.acl-long.232",
pages = "3284--3294",
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 (n{\^e}hiyaw{\^e}win), 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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Interactive Word Completion for Plains Cree
%A Lane, William
%A Harrigan, Atticus
%A Arppe, Antti
%Y Muresan, Smaranda
%Y Nakov, Preslav
%Y Villavicencio, Aline
%S Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F lane-etal-2022-interactive
%X 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.
%R 10.18653/v1/2022.acl-long.232
%U https://aclanthology.org/2022.acl-long.232
%U https://doi.org/10.18653/v1/2022.acl-long.232
%P 3284-3294
Markdown (Informal)
[Interactive Word Completion for Plains Cree](https://aclanthology.org/2022.acl-long.232) (Lane et al., ACL 2022)
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.