BabyFST - Towards a Finite-State Based Computational Model of Ancient Babylonian
Aleksi Sahala, Miikka Silfverberg, Antti Arppe, Krister Lindén
Abstract
Akkadian is a fairly well resourced extinct language that does not yet have a comprehensive morphological analyzer available. In this paper we describe a general finite-state based morphological model for Babylonian, a southern dialect of the Akkadian language, that can achieve a coverage up to 97.3% and recall up to 93.7% on lemmatization and POS-tagging task on token level from a transcribed input. Since Akkadian word forms exhibit a high degree of morphological ambiguity, in that only 20.1% of running word tokens receive a single unambiguous analysis, we attempt a first pass at weighting our finite-state transducer, using existing extensive Akkadian corpora which have been partially validated for their lemmas and parts-of-speech but not the entire morphological analyses. The resultant weighted finite-state transducer yields a moderate improvement so that for 57.4% of the word tokens the highest ranked analysis is the correct one. We conclude with a short discussion on how morphological ambiguity in the analysis of Akkadian could be further reduced with improvements in the training data used in weighting the finite-state transducer as well as through other, context-based techniques.- Anthology ID:
- 2020.lrec-1.479
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 3886–3894
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.479
- DOI:
- Cite (ACL):
- Aleksi Sahala, Miikka Silfverberg, Antti Arppe, and Krister Lindén. 2020. BabyFST - Towards a Finite-State Based Computational Model of Ancient Babylonian. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 3886–3894, Marseille, France. European Language Resources Association.
- Cite (Informal):
- BabyFST - Towards a Finite-State Based Computational Model of Ancient Babylonian (Sahala et al., LREC 2020)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2020.lrec-1.479.pdf