Abstract
This study describes the approach developed by the Tilburg University team to the shallow track of the Multilingual Surface Realization Shared Task 2019 (SR’19) (Mille et al., 2019). Based on Ferreira et al. (2017) and on our 2018 submission Ferreira et al. (2018), the approach generates texts by first preprocessing an input dependency tree into an ordered linearized string, which is then realized using a rule-based and a statistical machine translation (SMT) model. This year our submission is able to realize texts in the 11 languages proposed for the task, different from our last year submission, which covered only 6 Indo-European languages. The model is publicly available.- Anthology ID:
- D19-6307
- Volume:
- Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019)
- Month:
- November
- Year:
- 2019
- Address:
- Hong Kong, China
- Editors:
- Simon Mille, Anja Belz, Bernd Bohnet, Yvette Graham, Leo Wanner
- Venue:
- WS
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 59–62
- Language:
- URL:
- https://aclanthology.org/D19-6307
- DOI:
- 10.18653/v1/D19-6307
- Cite (ACL):
- Thiago Castro Ferreira and Emiel Krahmer. 2019. Surface Realization Shared Task 2019 (MSR19): The Team 6 Approach. In Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019), pages 59–62, Hong Kong, China. Association for Computational Linguistics.
- Cite (Informal):
- Surface Realization Shared Task 2019 (MSR19): The Team 6 Approach (Castro Ferreira & Krahmer, 2019)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/D19-6307.pdf