Papers by Sylvain Coulange

2 papers
A Corpus of Spontaneous L2 English Speech for Real-situation Speaking Assessment (2024.lrec-main)

Copied to clipboard

Challenge: Existing automated scoring systems rely on highly controlled elicitation protocols, such as reading aloud isolated words or short sentences, limiting their ability to evaluate spontaneous speech.
Approach: They propose to collect a corpus of spontaneous L2 English speech from university students as part of a French national certificate in English.
Outcome: The results show that only 35.4% of the 6,350 targeted words had stress detected on the expected syllable, revealing a common stress shift to the final s.
Rhythmic Proximity Between Natives And Learners Of French - Evaluation of a metric based on the CEFC corpus (2020.lrec-1)

Copied to clipboard

Challenge: Among prosodic parameters, rhythm is one that varies noticeably from one language to another.
Approach: They propose to model rhythm in French using the corpus for l’Étude du Français Contemporain (CEFC) . they tested 146 native speakers, 37 non-native speakers and 29 non-Native Japanese learners of French .
Outcome: The proposed model is based on the corpus pour l’Étude du Français Contemporain (CEFC) which contains up to 300 hours of speech of a wide variety of speaker profiles and situations.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations