Software

Open source repository with the code and models used in recent papers

SubSONAR evaluates the quality of SRT files using the multilingual multimodal SONAR model. The evaluation accounts for the semantic similarity (computed as a cosine similarity) between each subtitle block and the corresponding...

A neural adaptive machine translation system that adapts to context and learns from corrections

AQET (Adaptive Quality Estimation Tool) is an open-source package for performing Quality Estimation for Machine Translation able to continuously learn from post-edited sentences.

An extension of MGIZA++, which allows to align sentence pair in an online mode.

The IRST Language Modeling (IRSTLM) Toolkit features algorithms and data structures suitable to estimate, store, and access very large n-gram language models.

Moses is a statistical machine translation system that allows you to automatically train translation models for any language pair.