- Anthology ID:
- 2020.amta-research.15
- Volume:
- Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
- Month:
- October
- Year:
- 2020
- Address:
- Virtual
- Venue:
- AMTA
- SIG:
- Publisher:
- Association for Machine Translation in the Americas
- Note:
- Pages:
- 165–172
- Language:
- URL:
- https://aclanthology.org/2020.amta-research.15
- DOI:
- Cite (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.
- Cite (Informal):
- Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on Inuktitut (Le & Sadat, AMTA 2020)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2020.amta-research.15.pdf
- Code
- ngoctanle/inuktitut-english-nmt