Abstract
Irish underwent a major spelling standardization in the 1940’s and 1950’s, and as a result it can be challenging to apply language technologies designed for the modern language to older, “pre-standard” texts. Lemmatization, tagging, and parsing of these pre-standard texts play an important role in a number of applications, including the lexicographical work on Foclóir Stairiúil na Gaeilge, a historical dictionary of Irish covering the period from 1600 to the present. We have two main goals in this paper. First, we introduce a small benchmark corpus containing just over 3800 words, annotated according to the Universal Dependencies guidelines and covering a range of dialects and time periods since 1600. Second, we establish baselines for lemmatization, tagging, and dependency parsing on this corpus by experimenting with a variety of machine learning approaches.- Anthology ID:
- 2022.cltw-1.2
- Volume:
- Proceedings of the 4th Celtic Language Technology Workshop within LREC2022
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Venue:
- CLTW
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 7–13
- Language:
- URL:
- https://aclanthology.org/2022.cltw-1.2
- DOI:
- Cite (ACL):
- Kevin Scannell. 2022. Diachronic Parsing of Pre-Standard Irish. In Proceedings of the 4th Celtic Language Technology Workshop within LREC2022, pages 7–13, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Diachronic Parsing of Pre-Standard Irish (Scannell, CLTW 2022)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2022.cltw-1.2.pdf