CTRLPost: controllable machine translation and automatic post-editing for low-resource languages

Start year: 2024

Summary: This project proposal aims to develop an NLP technology for controllable machine translation in low-resource languages. The proposal is a response to an Amazon Research Awards (AWA) call invited through a research network contact. The expected project duration is one year and the prospected external funding is USD150,000.

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.