Abstract
In this paper we test the parsing performances of a multilingual parser on Old English data using different sets of languages, alone and combined with the target language, to train the models. We compare the results obtained by the models and we analyze more in deep the annotation of some peculiar syntactic constructions of the target language, providing plausible linguistic explanations of the errors made even by the best performing models.- Anthology ID:
- 2023.sigtyp-1.4
- Volume:
- Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP
- Month:
- May
- Year:
- 2023
- Address:
- Dubrovnik, Croatia
- Editors:
- Lisa Beinborn, Koustava Goswami, Saliha Muradoğlu, Alexey Sorokin, Ritesh Kumar, Andreas Shcherbakov, Edoardo M. Ponti, Ryan Cotterell, Ekaterina Vylomova
- Venue:
- SIGTYP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 30–41
- Language:
- URL:
- https://aclanthology.org/2023.sigtyp-1.4
- DOI:
- 10.18653/v1/2023.sigtyp-1.4
- Cite (ACL):
- Luca Brigada Villa and Martina Giarda. 2023. Using Modern Languages to Parse Ancient Ones: a Test on Old English. In Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP, pages 30–41, Dubrovnik, Croatia. Association for Computational Linguistics.
- Cite (Informal):
- Using Modern Languages to Parse Ancient Ones: a Test on Old English (Brigada Villa & Giarda, SIGTYP 2023)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2023.sigtyp-1.4.pdf