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  Automated parsing of interlinear glossed text from page images of grammatical descriptions

Round, E., Macklin-Cordes, J. L., Ellison, T. M., & Beniamine, S. (2020). Automated parsing of interlinear glossed text from page images of grammatical descriptions. In N. Calzolari, F. Béchet, P. Blache, K. Choukri, C. Cieri, T. Declerck, et al. (Eds.), Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) (pp. 2878-2883). Paris: European Language Resources Association (ELRA). doi:10.5281/zenodo.3550760.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-6E7F-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-6E80-E
Genre: Conference Paper

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 Creators:
Round, Erich1, Author           
Macklin-Cordes, Jayden L., Author
Ellison, T. Mark, Author
Beniamine, Sacha1, Author           
Affiliations:
1Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Max Planck Society, ou_2074311              

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Free keywords: Information Extraction, Information Retrieval”, Less-Resourced/Endangered Languages, Morphology, Typological Databases
 Abstract: Linguists seek insight from all human languages, however accessing information from most of the full store of extant global linguistic descriptions is not easy. One of the most common kinds of information that linguists have documented is vernacular sentences, as recorded in descriptive grammars. Typically these sentences are formatted as interlinear glossed text (IGT). Most descriptive grammars, however, exist only as hardcopy or scanned pdf documents. Consequently, parsing IGTs in scanned grammars is a priority, in order to significantly increase the volume of documented linguistic information that is readily accessible. Here we demonstrate fundamental viability for a technology that can assist in making a large number of linguistic data sources machine readable: the automated identification and parsing of interlinear glossed text from scanned page images. For example, we attain high median precision and recall (>0.95) in the identification of example sentences in IGT format. Our results will be of interest to those who are keen to see more of the existing documentation of human language, especially for less-resourced and endangered languages, become more readily accessible.

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Language(s): eng - English
 Dates: 2020-05-192020
 Publication Status: Issued
 Pages: 6
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.5281/zenodo.3550760
Other: shh2601
 Degree: -

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Title: 12th Conference on Language Resources and Evaluation [postponed due to Corona]
Place of Event: Marseille
Start-/End Date: 2020-05-11 - 2020-05-16

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Title: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)
Source Genre: Proceedings
 Creator(s):
Calzolari, Nicoletta, Editor
Béchet, Frédéric, Editor
Blache, Philippe, Editor
Choukri, Khalid, Editor
Cieri, Christopher, Editor
Declerck, Thierry, Editor
Goggi, Sara, Editor
Ishara, Hitoshi, Editor
Maegaard, Bente, Editor
Mariani, Hélène Mazo, Editor
Moreno, Asuncion, Editor
Odijk, Jan, Editor
Piperidis, Stelios, Editor
Affiliations:
-
Publ. Info: Paris : European Language Resources Association (ELRA)
Pages: 7251 Volume / Issue: - Sequence Number: - Start / End Page: 2878 - 2883 Identifier: ISBN: 979-10-95546-34-4