The Computational Study of Old English

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3A4X4GN4YS" target="_blank" >RIV/00216208:11320/26:4X4GN4YS - isvavai.cz</a>

Alternative codes found

RIV/00216208:11320/26:VH3NET4L

Result on the web

<a href="https://www.mdpi.com/2673-8392/5/3/137" target="_blank" >https://www.mdpi.com/2673-8392/5/3/137</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/encyclopedia5030137" target="_blank" >10.3390/encyclopedia5030137</a>

Result language

angličtina

Original language name

The Computational Study of Old English

Original language description

This entry presents a comprehensive overview of the computational study of Old English that surveys the evolution from early digital corpora to recent artificial intelligence applications. Six interconnected domains are examined: textual resources (including the Helsinki Corpus, the Dictionary of Old English Corpus, and the York-Toronto-Helsinki Parsed Corpus), lexicographical resources (analysing approaches from Bosworth–Toller to the Dictionary of Old English), corpus lemmatisation (covering both prose and poetic texts), treebanks (particularly Universal Dependencies frameworks), and artificial intelligence applications. The paper shows that computational methodologies have transformed Old English studies because they facilitate large-scale analyses of morphology, syntax, and semantics previously impossible through traditional philological methods. Recent innovations are highlighted, including the development of lexical databases like Nerthusv5, dependency parsing methods, and the application of transformer models and NLP libraries to historical language processing. In spite of these remarkable advances, problems persist, including limited corpus size, orthographic inconsistency, and methodological difficulties in applying modern computational techniques to historical languages. The conclusion is reached that the future of computational Old English studies lies in the integration of AI capabilities with traditional philological expertise, an approach that enhances traditional scholarship and opens new avenues for understanding Anglo-Saxon language and culture.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

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)

Project

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Continuities

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Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Encyclopedia

ISSN

2673-8392

e-ISSN

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Volume of the periodical

5

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

22

Pages from-to

137

UT code for WoS article

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EID of the result in the Scopus database

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