# PRISM Model for Multilingual Machine Translation
This repository contains the `Prism` model, a state-of-the-art multilingual neural machine translation (NMT) system developed for translation and machine translation evaluation tasks. The Prism model supports translation across 39 languages, leveraging a zero-shot paraphrasing approach that does not require human judgments for training.
The model was trained with a focus on multilingual performance, excelling in tasks such as translation quality estimation and evaluation, making it a versatile choice for research and practical use in various language pairs.
## Model Description
The `Prism` model was designed to be a lexically/syntactically unbiased paraphraser. The core idea is to treat paraphrasing as a zero-shot translation task, which allows the model to cover a wide range of languages effectively.
### BLEU Score Performance
The `Prism` model achieved competitive or superior performance across various language pairs in the WMT 2…
