@inproceedings{lane-bird-2022-finite,
title = "A Finite State Aproach to Interactive Transcription",
author = "Lane, William and
Bird, Steven",
editor = "Serikov, Oleg and
Voloshina, Ekaterina and
Postnikova, Anna and
Klyachko, Elena and
Neminova, Ekaterina and
Vylomova, Ekaterina and
Shavrina, Tatiana and
Ferrand, Eric Le and
Malykh, Valentin and
Tyers, Francis and
Arkhangelskiy, Timofey and
Mikhailov, Vladislav and
Fenogenova, Alena",
booktitle = "Proceedings of the first workshop on NLP applications to field linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Conference on Computational Linguistics",
url = "https://aclanthology.org/2022.fieldmatters-1.1",
pages = "1--10",
abstract = "We describe a novel approach to transcribing morphologically complex, local, oral languages. The approach connects with local motivations for participating in language work which center on language learning, accessing the content of audio collections, and applying this knowledge in language revitalization and maintenance. We develop a constraint-based approach to interactive word completion, expressed using Optimality Theoretic constraints, implemented in a finite state transducer, and applied to an Indigenous language. We show that this approach suggests correct full word predictions on 57.9{\%} of the test utterances, and correct partial word predictions on 67.5{\%} of the test utterances. In total, 87{\%} of the test utterances receive full or partial word suggestions which serve to guide the interactive transcription process.",
}
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%0 Conference Proceedings
%T A Finite State Aproach to Interactive Transcription
%A Lane, William
%A Bird, Steven
%Y Serikov, Oleg
%Y Voloshina, Ekaterina
%Y Postnikova, Anna
%Y Klyachko, Elena
%Y Neminova, Ekaterina
%Y Vylomova, Ekaterina
%Y Shavrina, Tatiana
%Y Ferrand, Eric Le
%Y Malykh, Valentin
%Y Tyers, Francis
%Y Arkhangelskiy, Timofey
%Y Mikhailov, Vladislav
%Y Fenogenova, Alena
%S Proceedings of the first workshop on NLP applications to field linguistics
%D 2022
%8 October
%I International Conference on Computational Linguistics
%C Gyeongju, Republic of Korea
%F lane-bird-2022-finite
%X We describe a novel approach to transcribing morphologically complex, local, oral languages. The approach connects with local motivations for participating in language work which center on language learning, accessing the content of audio collections, and applying this knowledge in language revitalization and maintenance. We develop a constraint-based approach to interactive word completion, expressed using Optimality Theoretic constraints, implemented in a finite state transducer, and applied to an Indigenous language. We show that this approach suggests correct full word predictions on 57.9% of the test utterances, and correct partial word predictions on 67.5% of the test utterances. In total, 87% of the test utterances receive full or partial word suggestions which serve to guide the interactive transcription process.
%U https://aclanthology.org/2022.fieldmatters-1.1
%P 1-10
Markdown (Informal)
[A Finite State Aproach to Interactive Transcription](https://aclanthology.org/2022.fieldmatters-1.1) (Lane & Bird, FieldMatters 2022)
ACL
- William Lane and Steven Bird. 2022. A Finite State Aproach to Interactive Transcription. In Proceedings of the first workshop on NLP applications to field linguistics, pages 1–10, Gyeongju, Republic of Korea. International Conference on Computational Linguistics.