Sebastian T. Vincent

PhD Project

In my PhD project, under the working title “Personalising Machine Translation for Scripted Dialogue”, my supervisors and I seek whether it is beneficial to incorporate context of various kinds into translation of scripted dialogue (e.g. in movies). This PhD is realised in partnership with the industry partner ZOO Digital.

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Research Interests

My main research interest lies in exploring neural machine translation and language generation, especially in the context of personalisation and adaptation in low-resource settings. I particularly enjoy working with those tasks which involve discourse analysis and modelling.

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Publications

• Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022. In Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022), pages 341–350, Dublin, Ireland (in-person and online). Association for Computational Linguistics.
• Controlling Extra-Textual Attributes about Dialogue Participants: A Case Study of English-to-Polish Neural Machine Translation. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 121–130, Ghent, Belgium. European Association for Machine Translation.
• Towards Personalised and Document-level Machine Translation of Dialogue. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 137–147, Online. Association for Computational Linguistics.

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