343 citations · 1.3k across the 50 of their papers we have counts for
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A Survey of Vision-Language Pre-training from the Lens of Multimodal Machine Translation
Jeremy Gwinnup, Kevin Duh
Large language models such as BERT and the GPT series started a paradigm shift that calls for building general-purpose models via pre-training on large datasets, followed by fine-t…
HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech Translation
Cihan Xiao, Henry Li Xinyuan, Jinyi Yang +4
We introduce HK-LegiCoST, a new three-way parallel corpus of Cantonese-English translations, containing 600+ hours of Cantonese audio, its standard traditional Chinese transcript,…
In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models
Suzanna Sia, Kevin Duh
The phenomena of in-context learning has typically been thought of as "learning from examples". In this work which focuses on Machine Translation, we present a perspective of in-co…
Exploring Representational Disparities Between Multilingual and Bilingual Translation Models
Neha Verma, Kenton Murray, Kevin Duh
Multilingual machine translation has proven immensely useful for both parameter efficiency and overall performance across many language pairs via complete multilingual parameter sh…