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%0 Conference Proceedings
%T Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on Inuktitut
%A Le, Tan Ngoc
%A Sadat, Fatiha
%Y Denkowski, Michael
%Y Federmann, Christian
%S Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
%D 2020
%8 October
%I Association for Machine Translation in the Americas
%C Virtual
%F le-sadat-2020-low
%U https://aclanthology.org/2020.amta-research.15/
%P 165-172

Markdown (Informal)

[Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on Inuktitut](https://aclanthology.org/2020.amta-research.15/) (Le & Sadat, AMTA 2020)

• Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on Inuktitut (Le & Sadat, AMTA 2020)

ACL

• Tan Ngoc Le and Fatiha Sadat. 2020. Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on Inuktitut. In Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), pages 165–172, Virtual. Association for Machine Translation in the Americas.