GeorgeVern
Ph.D. student at EPFL/EDEE and HEIG-VD working on Machine Translation. Obtained MSc in DS and ML, and diploma in Computer Engineering from NTUA.
Lausanne, Switzerland
Pinned Repositories
doc-mt-metrics
AFTERV1.0
Python source code for EMNLP 2020 Findings paper: "Domain Adversarial Fine-Tuning as an Effective Regularizer".
doc-mt-metrics
georgevern.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
lmcor
Code for the EACL 2024 paper: "Small Language Models Improve Giants by Rewriting Their Outputs"
MASS
MASS: Masked Sequence to Sequence Pre-training for Language Generation
mt-transfer
qe-fusion
This repo contains the code for the paper "Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation"
ramen
A software for transferring pre-trained English models to foreign languages
smala
Python source code for EMNLP 2021 Findings paper: "Subword Mapping and Anchoring Across Languages".
GeorgeVern's Repositories
GeorgeVern/smala
Python source code for EMNLP 2021 Findings paper: "Subword Mapping and Anchoring Across Languages".
GeorgeVern/AFTERV1.0
Python source code for EMNLP 2020 Findings paper: "Domain Adversarial Fine-Tuning as an Effective Regularizer".
GeorgeVern/lmcor
Code for the EACL 2024 paper: "Small Language Models Improve Giants by Rewriting Their Outputs"
GeorgeVern/qe-fusion
This repo contains the code for the paper "Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation"
GeorgeVern/doc-mt-metrics
GeorgeVern/georgevern.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
GeorgeVern/MASS
MASS: Masked Sequence to Sequence Pre-training for Language Generation
GeorgeVern/mt-transfer
GeorgeVern/ramen
A software for transferring pre-trained English models to foreign languages
GeorgeVern/relm_unmt
Python source code for EMNLP 2020 paper "Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT".
GeorgeVern/subword-nmt
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
GeorgeVern/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
GeorgeVern/vecmap
A framework to learn cross-lingual word embedding mappings