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cs.CL2025
Testing LLMs' Capabilities in Annotating Translations Based on an Error Typology Designed for LSP Translation: First Experiments with ChatGPT
Joachim Minder, Guillaume Wisniewski, Natalie Kübler
This study investigates the capabilities of large language models (LLMs), specifically ChatGPT, in annotating MT outputs based on an error typology. In contrast to previous work fo…
cs.CL2024★ 1 cited
Establishing degrees of closeness between audio recordings along different dimensions using large-scale cross-lingual models
Maxime Fily, Guillaume Wisniewski, Severine Guillaume +2
In the highly constrained context of low-resource language studies, we explore vector representations of speech from a pretrained model to determine their level of abstraction with…