Abstract
The treatment of medieval texts is a particular challenge for parsers. I compare how two dependency parsers, one graph-based, the other transition-based, perform on Old French, facing some typical problems of medieval texts: graphical variation, relatively free word order, and syntactic variation of several parameters over a diachronic period of about 300 years. Both parsers were trained and evaluated on the “Syntactic Reference Corpus of Medieval French” (SRCMF), a manually annotated dependency treebank. I discuss the relation between types of parsers and types of language, as well as the differences of the analyses from a linguistic point of view.- Anthology ID:
- L16-1112
- Volume:
- Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Month:
- May
- Year:
- 2016
- Address:
- Portorož, Slovenia
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 707–713
- Language:
- URL:
- https://aclanthology.org/L16-1112
- DOI:
- Cite (ACL):
- Achim Stein. 2016. Old French Dependency Parsing: Results of Two Parsers Analysed from a Linguistic Point of View. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 707–713, Portorož, Slovenia. European Language Resources Association (ELRA).
- Cite (Informal):
- Old French Dependency Parsing: Results of Two Parsers Analysed from a Linguistic Point of View (Stein, LREC 2016)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/L16-1112.pdf