The document outlines a research project on bilingual term extraction conducted by Mark Cieliebak and Rémy Blättler at Zurich University of Applied Sciences, involving multiple languages and utilizing techniques like word frequencies and shallow neural networks. It discusses methods such as Gensim's word2vec for entity extraction and term detection across various corpora while addressing challenges like data insufficiency and the need for improved source quality. The project is budgeted at $1,000 and seeks additional funding and cooperation to enhance client onboarding and terminological accuracy.