ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.05634
  4. Cited By
Exploring Unsupervised Pretraining Objectives for Machine Translation

Exploring Unsupervised Pretraining Objectives for Machine Translation

10 June 2021
Christos Baziotis
Ivan Titov
Alexandra Birch
Barry Haddow
    AAML
    AI4CE
ArXivPDFHTML

Papers citing "Exploring Unsupervised Pretraining Objectives for Machine Translation"

5 / 5 papers shown
Title
When Does Monolingual Data Help Multilingual Translation: The Role of
  Domain and Model Scale
When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale
Christos Baziotis
Biao Zhang
Alexandra Birch
Barry Haddow
30
2
0
23 May 2023
Hierarchical3D Adapters for Long Video-to-text Summarization
Hierarchical3D Adapters for Long Video-to-text Summarization
Pinelopi Papalampidi
Mirella Lapata
VGen
27
12
0
10 Oct 2022
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
Jörg Tiedemann
162
164
0
13 Oct 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,956
0
20 Apr 2018
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
212
1,207
0
12 Jun 2017
1