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The Tatoeba Translation Challenge -- Realistic Data Sets for Low
  Resource and Multilingual MT

The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MT

13 October 2020
Jörg Tiedemann
ArXivPDFHTML

Papers citing "The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MT"

2 / 2 papers shown
Title
Bemba Speech Translation: Exploring a Low-Resource African Language
Bemba Speech Translation: Exploring a Low-Resource African Language
Muhammad Hazim Al Farouq
Aman Kassahun Wassie
Yasmin Moslem
20
17
0
05 May 2025
Multi-Way, Multilingual Neural Machine Translation with a Shared
  Attention Mechanism
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
Orhan Firat
Kyunghyun Cho
Yoshua Bengio
LRM
AIMat
189
613
0
06 Jan 2016
1