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Joint Dropout: Improving Generalizability in Low-Resource Neural Machine
  Translation through Phrase Pair Variables

Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables

24 July 2023
Ali Araabi
Vlad Niculae
Christof Monz
ArXivPDFHTML

Papers citing "Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables"

4 / 4 papers shown
Title
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
103
91
0
06 Oct 2022
The paradox of the compositionality of natural language: a neural
  machine translation case study
The paradox of the compositionality of natural language: a neural machine translation case study
Verna Dankers
Elia Bruni
Dieuwke Hupkes
CoGe
155
75
0
12 Aug 2021
On Compositional Generalization of Neural Machine Translation
On Compositional Generalization of Neural Machine Translation
Yafu Li
Yongjing Yin
Yulong Chen
Yue Zhang
148
44
0
31 May 2021
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
208
1,202
0
12 Jun 2017
1