@inproceedings{gessler-2022-closing,
title = "Closing the {NLP} Gap: Documentary Linguistics and {NLP} Need a Shared Software Infrastructure",
author = "Gessler, Luke",
editor = "Moeller, Sarah and
Anastasopoulos, Antonios and
Arppe, Antti and
Chaudhary, Aditi and
Harrigan, Atticus and
Holden, Josh and
Lachler, Jordan and
Palmer, Alexis and
Rijhwani, Shruti and
Schwartz, Lane",
booktitle = "Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.computel-1.15",
doi = "10.18653/v1/2022.computel-1.15",
pages = "119--126",
abstract = "For decades, researchers in natural language processing and computational linguistics have been developing models and algorithms that aim to serve the needs of language documentation projects. However, these models have seen little use in language documentation despite their great potential for making documentary linguistic artefacts better and easier to produce. In this work, we argue that a major reason for this NLP gap is the lack of a strong foundation of application software which can on the one hand serve the complex needs of language documentation and on the other hand provide effortless integration with NLP models. We further present and describe a work-in-progress system we have developed to serve this need, Glam.",
}
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%0 Conference Proceedings
%T Closing the NLP Gap: Documentary Linguistics and NLP Need a Shared Software Infrastructure
%A Gessler, Luke
%Y Moeller, Sarah
%Y Anastasopoulos, Antonios
%Y Arppe, Antti
%Y Chaudhary, Aditi
%Y Harrigan, Atticus
%Y Holden, Josh
%Y Lachler, Jordan
%Y Palmer, Alexis
%Y Rijhwani, Shruti
%Y Schwartz, Lane
%S Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F gessler-2022-closing
%X For decades, researchers in natural language processing and computational linguistics have been developing models and algorithms that aim to serve the needs of language documentation projects. However, these models have seen little use in language documentation despite their great potential for making documentary linguistic artefacts better and easier to produce. In this work, we argue that a major reason for this NLP gap is the lack of a strong foundation of application software which can on the one hand serve the complex needs of language documentation and on the other hand provide effortless integration with NLP models. We further present and describe a work-in-progress system we have developed to serve this need, Glam.
%R 10.18653/v1/2022.computel-1.15
%U https://aclanthology.org/2022.computel-1.15
%U https://doi.org/10.18653/v1/2022.computel-1.15
%P 119-126
Markdown (Informal)
[Closing the NLP Gap: Documentary Linguistics and NLP Need a Shared Software Infrastructure](https://aclanthology.org/2022.computel-1.15) (Gessler, ComputEL 2022)
ACL