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%0 Conference Proceedings
%T How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?
%A Heigold, Georg
%A Varanasi, Stalin
%A Neumann, Günter
%A van Genabith, Josef
%Y Cherry, Colin
%Y Neubig, Graham
%S Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
%D 2018
%8 March
%I Association for Machine Translation in the Americas
%C Boston, MA
%F heigold-etal-2018-robust
%U https://aclanthology.org/W18-1807
%P 68-80

Markdown (Informal)

[How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?](https://aclanthology.org/W18-1807) (Heigold et al., AMTA 2018)

• How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse? (Heigold et al., AMTA 2018)

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.