A Finite State Aproach to Interactive Transcription

William Lane, Steven Bird

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review

45 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationProceedings of the first workshop on NLP applications to field linguistics
Place of PublicationGyeongju
PublisherInternational Conference on Computational Linguistics
Pages1-10
Number of pages10
Volume29
Publication statusPublished - 1 Oct 2022
EventThe 29th International Conference on
Computational Linguistics
- Gyeongju, Korea, Republic of
Duration: 12 Oct 202217 Oct 2022
https://coling2022.org/

Conference

ConferenceThe 29th International Conference on
Computational Linguistics
Abbreviated titleCOLING
Country/TerritoryKorea, Republic of
CityGyeongju
Period12/10/2217/10/22
Internet address

Fingerprint

Dive into the research topics of 'A Finite State Aproach to Interactive Transcription'. Together they form a unique fingerprint.

Cite this