1 citations · 1 across the 4 of their papers we have counts for
4 papers
On the Use of LLMs for Specialised Terminology: A Good Alternative to Corpora?
Joachim Minder, Guillaume Wisniewski, Natalie Kübler
Specialised translation relies on the use of documentary and terminological resources, including corpora. These resources are particularly useful for terminology. However, their co…
Assessing the Impact of Anisotropy in Neural Representations of Speech: A Case Study on Keyword Spotting
Guillaume Wisniewski, Séverine Guillaume, Clara Rosina Fernández
Pretrained speech representations like wav2vec2 and HuBERT exhibit strong anisotropy, leading to high similarity between random embeddings. While widely observed, the impact of thi…
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…
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…