Sebastian Vincent — accepted AI-conference papers

2024

Reference-less Analysis of Context Specificity in Translation with Personalised Language Models

Sebastian Vincent, Rowanne Sumner, Alice Dowek, Charlotte Prescott, Emily Preston, Chris Bayliss +2

COLING 2024main

Sensitising language models (LMs) to external context helps them to more effectively capture the speaking patterns of individuals with specific characteristics or in particular environments. This work investigates to what extent detailed character and film annotations can be leveraged to personalise…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗

2023

MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation

Sebastian Vincent, Robert Flynn, Carolina Scarton

ACL 2023findings

Efficient utilisation of both intra- and extra-textual context remains one of the critical gaps between machine and human translation. Existing research has primarily focused on providing individual, well-defined types of context in translation, such as the surrounding text or discrete external vari…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗