@inproceedings{brixey-traum-2025-code,
title = "Does a code-switching dialogue system help users learn conversational fluency in {C}hoctaw?",
author = "Brixey, Jacqueline and
Traum, David",
editor = "Mager, Manuel and
Ebrahimi, Abteen and
Pugh, Robert and
Rijhwani, Shruti and
Von Der Wense, Katharina and
Chiruzzo, Luis and
Coto-Solano, Rolando and
Oncevay, Arturo",
booktitle = "Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)",
month = may,
year = "2025",
address = "Albuquerque, New Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.americasnlp-1.2/",
doi = "10.18653/v1/2025.americasnlp-1.2",
pages = "8--17",
ISBN = "979-8-89176-236-7",
abstract = "We investigate the learning outcomes and user response to a chatbot for practicing conversational Choctaw, an endangered American Indigenous language. Conversational fluency is a goal for many language learners, however, for learners of endangered languages in North America, access to fluent speakers may be limited. Chatbots are potentially ideal dialogue partners as this kind of dialogue system fulfills a non-authoritative role by focusing on carrying on a conversation as an equal conversational partner. The goal of the chatbot investigated in this work is to serve as a conversational partner in the absence of a fluent Choctaw-speaking human interlocutor. We investigate the impact of code-switching in the interaction, comparing a bilingual chatbot against a monolingual Choctaw version. We evaluate the systems for user engagement and enjoyment, as well as gains in conversational fluency from interacting with the system."
}
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%0 Conference Proceedings
%T Does a code-switching dialogue system help users learn conversational fluency in Choctaw?
%A Brixey, Jacqueline
%A Traum, David
%Y Mager, Manuel
%Y Ebrahimi, Abteen
%Y Pugh, Robert
%Y Rijhwani, Shruti
%Y Von Der Wense, Katharina
%Y Chiruzzo, Luis
%Y Coto-Solano, Rolando
%Y Oncevay, Arturo
%S Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)
%D 2025
%8 May
%I Association for Computational Linguistics
%C Albuquerque, New Mexico
%@ 979-8-89176-236-7
%F brixey-traum-2025-code
%X We investigate the learning outcomes and user response to a chatbot for practicing conversational Choctaw, an endangered American Indigenous language. Conversational fluency is a goal for many language learners, however, for learners of endangered languages in North America, access to fluent speakers may be limited. Chatbots are potentially ideal dialogue partners as this kind of dialogue system fulfills a non-authoritative role by focusing on carrying on a conversation as an equal conversational partner. The goal of the chatbot investigated in this work is to serve as a conversational partner in the absence of a fluent Choctaw-speaking human interlocutor. We investigate the impact of code-switching in the interaction, comparing a bilingual chatbot against a monolingual Choctaw version. We evaluate the systems for user engagement and enjoyment, as well as gains in conversational fluency from interacting with the system.
%R 10.18653/v1/2025.americasnlp-1.2
%U https://aclanthology.org/2025.americasnlp-1.2/
%U https://doi.org/10.18653/v1/2025.americasnlp-1.2
%P 8-17
Markdown (Informal)
[Does a code-switching dialogue system help users learn conversational fluency in Choctaw?](https://aclanthology.org/2025.americasnlp-1.2/) (Brixey & Traum, AmericasNLP 2025)
ACL