Old English Universal Dependencies: Categories, Functions and Specific Fields

Javier Arista

2022

Abstract

The aim of this paper is to lay the foundations of the application of the framework of Universal Dependencies to Old English. Such application will result in the morphological and syntactic annotation of a large data set of Old English with Universal Dependencies categories and relations. The aim of this paper involves two tasks. Firstly, it is necessary to select the relevant categories from the set of universal part-of-speech tags and to identify the Old English exponents of the universal set of morphological features. Secondly, the dependency relations holding in Old English should be listed. The main conclusion of this paper is that two specific fields should be added to the standard Universal Dependencies annotation scheme in order to account to two central aspects of Old English, namely, a gloss field, given the historical character of the language; and a morphological relatedness field, in order to account for its associative lexicon.

Paper Citation

in Harvard Style

Arista J. (2022). Old English Universal Dependencies: Categories, Functions and Specific Fields. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-547-0, pages 945-951. DOI: 10.5220/0010977300003116

in Bibtex Style

@conference{icaart22,
author={Javier Arista},
title={Old English Universal Dependencies: Categories, Functions and Specific Fields},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2022},
pages={945-951},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010977300003116},
isbn={978-989-758-547-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - Old English Universal Dependencies: Categories, Functions and Specific Fields
SN - 978-989-758-547-0
AU - Arista J.
PY - 2022
SP - 945
EP - 951
DO - 10.5220/0010977300003116