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Crosslingual Embeddings are Essential in UNMT for Distant Languages: An
  English to IndoAryan Case Study

Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study

Machine Translation Summit (MT Summit), 2021
9 June 2021
Tamali Banerjee
V. Rudra Murthy
P. Bhattacharyya
ArXiv (abs)PDFHTML

Papers citing "Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study"

3 / 3 papers shown
Title
Denoising-based UNMT is more robust to word-order divergence than
  MASS-based UNMT
Denoising-based UNMT is more robust to word-order divergence than MASS-based UNMT
Tamali Banerjee
V. Rudra Murthy
P. Bhattacharyya
110
0
0
02 Mar 2023
Cost-Effective Training in Low-Resource Neural Machine Translation
Cost-Effective Training in Low-Resource Neural Machine Translation
Sai Koneru
Danni Liu
Jan Niehues
126
1
0
14 Jan 2022
Training Cross-Lingual embeddings for Setswana and Sepedi
Training Cross-Lingual embeddings for Setswana and Sepedi
Mack Makgatho
Vukosi Marivate
T. Sefara
Valencia Wagner
AI4TS
108
4
0
11 Nov 2021
1