- Anthology ID:
- W12-6219
- Volume:
- Proceedings of the 10th International Workshop on Finite State Methods and Natural Language Processing
- Month:
- July
- Year:
- 2012
- Address:
- Donostia–San Sebastián
- Editors:
- Iñaki Alegria, Mans Hulden
- Venue:
- FSMNLP
- SIG:
- SIGFSM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 116–125
- Language:
- URL:
- https://aclanthology.org/W12-6219
- DOI:
- Cite (ACL):
- Aurelien Waite, Graeme Blackwood, and William Byrne. 2012. Lattice-Based Minimum Error Rate Training Using Weighted Finite-State Transducers with Tropical Polynomial Weights. In Proceedings of the 10th International Workshop on Finite State Methods and Natural Language Processing, pages 116–125, Donostia–San Sebastián. Association for Computational Linguistics.
- Cite (Informal):
- Lattice-Based Minimum Error Rate Training Using Weighted Finite-State Transducers with Tropical Polynomial Weights (Waite et al., FSMNLP 2012)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W12-6219.pdf