Massively Multilingual Token-Based Typology Using the Parallel Bible Corpus
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AKVYU7DAV" target="_blank" >RIV/00216208:11320/25:KVYU7DAV - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195962500&partnerID=40&md5=59e88b54c58717485cc68e28df6cec34" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195962500&partnerID=40&md5=59e88b54c58717485cc68e28df6cec34</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Massively Multilingual Token-Based Typology Using the Parallel Bible Corpus
Original language description
The parallel Bible corpus is a uniquely broad multilingual resource, covering over 1400 languages. While this data is potentially highly useful for extending language coverage in both token-based typology research and various low-resource NLP applications, the restricted register and translational nature of the Bible texts has raised concerns as to whether they are sufficiently representative of language use outside of their specific context. In this paper, we analyze the reliability and generalisability of word order statistics extracted from the Bible corpus from two angles: stability across different translations in the same language, and comparability with Universal Dependencies corpora and typological database classifications from URIEL and Grambank. We find that variation between same-language translations is generally low and that agreement with other data sources and previous work is generally high, suggesting that the impact of issues specific to massively parallel texts is smaller than previously posited. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Jt. Int. Conf. Comput. Linguist., Lang. Resour. Eval., LREC-COLING - Main Conf. Proc.
ISBN
978-249381410-4
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
11070-11079
Publisher name
European Language Resources Association (ELRA)
Place of publication
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Event location
Torino, Italia
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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