470 citations · 1.7k across the 40 of their papers we have counts for
5 papers · 1 filter
Beyond English-Centric Multilingual Machine Translation
Angela Fan, Shruti Bhosale, Holger Schwenk +14
Existing work in translation demonstrated the potential of massively multilingual machine translation by training a single model able to translate between any pair of languages. Ho…
Self-training Improves Pre-training for Natural Language Understanding
Jingfei Du, Edouard Grave, Beliz Gunel +5
Unsupervised pre-training has led to much recent progress in natural language understanding. In this paper, we study self-training as another way to leverage unlabeled data through…
MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset
Marina Fomicheva, Shuo Sun, Erick Fonseca +7
We present MLQE-PE, a new dataset for Machine Translation (MT) Quality Estimation (QE) and Automatic Post-Editing (APE). The dataset contains eleven language pairs, with human labe…
Multilingual Translation with Extensible Multilingual Pretraining and Finetuning
Yuqing Tang, Chau Tran, Xian Li +5
Recent work demonstrates the potential of multilingual pretraining of creating one model that can be used for various tasks in different languages. Previous work in multilingual pr…
Unsupervised Quality Estimation for Neural Machine Translation
Marina Fomicheva, Shuo Sun, Lisa Yankovskaya +6
Quality Estimation (QE) is an important component in making Machine Translation (MT) useful in real-world applications, as it is aimed to inform the user on the quality of the MT o…