MoNMT

MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation

Environment

• The code is based on the fairseq toolkit, version 1.0.0a0, forked from the Graformer codebase.
• python 3.8

Training

We show one example for training a MoNMT model.

Pretrain

See run-pretrian.sh

• After training, we can get a Encoder-to-Decoder Denoising model for the source and the target languages.
• In this example, the source and target languages share the same encoding and decoding modules.

train MoNMT

See run-train-MoNMT.sh

• After training, we can get a source-to-target MoNMT translation model.

Other Information

• The paper has been accepted by LREC-COLING 2024.