OPUS-CAT is a collection of software which make it possible to OPUS-MT neural machine translation models in professional translation. OPUS-CAT includes a local offline MT engine and a collection of CAT tool plugins.
Open Source Neural Machine Translation in PyTorch
AmericasNLP 2021 shared task
Data and scripts for a diagnostics test suite which allows to assess whether an NLU dataset constitutes a good testbed for evaluating the models' meaning understanding capabilities.
Training open neural machine translation models
Open neural machine translation models and web services
Low-Saxon Dialect Classification
XED multilingual emotion datasets
Automatically harvested multilingual contrastive word sense disambiguation test sets for machine translation
The public repository of the University of Helsinki for the MeMAD project
benchmarks for evaluating MT models
Emotion Lexicons for Finnish
Easily evaluate machine learning models on public benchmarks
API for searching corpora from OPUS
Sentence Embeddings with BERT & XLNet
OPUS repository interface
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.