Joint Annotation of Morphology and Syntax in Dependency Treebanks

Bruno Guillaume, Kim Gerdes, Kirian Guiller, Sylvain Kahane, Yixuan Li

Abstract
In this paper, we compare different ways to annotate both syntactic and morphological relations in a dependency treebank and we propose new formats we call mSUD and mUD, compatible with the Universal Dependencies (UD) schema for syntactic treebanks. We emphasize mSUD rather than mUD, the former being based on distributional criteria for the choice of the head of any combination, which allow us to clearly encode the internal structure of a word, that is, the derivational path. We investigate different problems posed by a morph-based annotation, concerning tokenization, choice of the head of a morph combination, relations between morphs, additional features needed, such as the token type differentiating roots and derivational and inflectional affixes. We show how our annotation schema can be applied to different languages from polysynthetic languages such as Yupik to isolating languages such as Chinese.
Anthology ID:
2024.lrec-main.836
Volume:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Month:
May
Year:
2024
Address:
Torino, Italia
Editors:
Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
Venues:
LREC | COLING
SIG:
Publisher:
ELRA and ICCL
Note:
Pages:
9568–9577
Language:
URL:
https://aclanthology.org/2024.lrec-main.836
DOI:
Bibkey:
Cite (ACL):
Bruno Guillaume, Kim Gerdes, Kirian Guiller, Sylvain Kahane, and Yixuan Li. 2024. Joint Annotation of Morphology and Syntax in Dependency Treebanks. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 9568–9577, Torino, Italia. ELRA and ICCL.
Cite (Informal):
Joint Annotation of Morphology and Syntax in Dependency Treebanks (Guillaume et al., LREC-COLING 2024)
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https://preview.aclanthology.org/nschneid-patch-4/2024.lrec-main.836.pdf
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