Master's Internship on adapting automatic evaluation metrics for scientific document translation

Contexte et atouts du poste

This internship will be financed by the ANR project MaTOS Machine Translation for Open Science which aims to develop new methods of automatically translating and evaluating scientific documents. The project focuses on translation between English and French, for which resources are readily available and translations are of a reasonable quality and coherence. The internship will be co-supervised by Rachel Bawden (Inria, ALMAnaCH project-team) and François Yvon (CNRS).

Mission confiée

Internship topic

Context

Clear progress has been in machine translation (MT) in recent years, particularly with the use of neural architectures (Bahdanau et al., 2015; Vaswani et al., 2017) and more recently large language models (LLMs) (Vilar et al., 2023; Hendy et al., 2023). The use of LLMs in particular make it easier to integrate extended linguistic context and additional resources such as t...