Modelling function words improves unsupervised word segmentation
Mark Johnson, Anne Christophe, Emmanuel Dupoux, Katherine Demuth
- Anthology ID:
- P14-1027
- Volume:
- Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Month:
- June
- Year:
- 2014
- Address:
- Baltimore, Maryland
- Editors:
- Kristina Toutanova, Hua Wu
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 282–292
- Language:
- URL:
- https://aclanthology.org/P14-1027
- DOI:
- 10.3115/v1/P14-1027
- Cite (ACL):
- Mark Johnson, Anne Christophe, Emmanuel Dupoux, and Katherine Demuth. 2014. Modelling function words improves unsupervised word segmentation. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 282–292, Baltimore, Maryland. Association for Computational Linguistics.
- Cite (Informal):
- Modelling function words improves unsupervised word segmentation (Johnson et al., ACL 2014)
- PDF:
- https://preview.aclanthology.org/fix-dup-bibkey/P14-1027.pdf