How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?
Georg Heigold, Stalin Varanasi, Günter Neumann, Josef van Genabith
- Anthology ID:
- W18-1807
- Volume:
- Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
- Month:
- March
- Year:
- 2018
- Address:
- Boston, MA
- Venue:
- AMTA
- SIG:
- Publisher:
- Association for Machine Translation in the Americas
- Note:
- Pages:
- 68–80
- Language:
- URL:
- https://aclanthology.org/W18-1807
- DOI:
- Cite (ACL):
- Georg Heigold, Stalin Varanasi, Günter Neumann, and Josef van Genabith. 2018. How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?. In Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), pages 68–80, Boston, MA. Association for Machine Translation in the Americas.
- Cite (Informal):
- How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse? (Heigold et al., AMTA 2018)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/W18-1807.pdf