Gabriel Thiberge

Postodoctoral CNRS researcher

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Research

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Get in touch

Please do feel free to contact me at

gabriel.thiberge[a]cnrs.fr

Current situation

Since October 2024, I have been working as a postdoctoral CNRS researcher in the PULCO ANR project (Predicting speaker's usages in oral French, PI: Juliette Thuilier). The project aims to disentangle the multiple factors at play in the production of linguistic alternatives by L1 French speakers, with a combination of NLP-inspired corpus analyses and experimental data acquired through psycholinguistic methodologies. More details here.

Before

From 2022 to 2024, I was recruited as a postdoctoral CNRS researcher as part of the SMIC ERC project (Formal models of Social Meaning and Identity Construction through language, dir. H. Burnett), building videogames to investigate the relationship between sociolinguistic variation and strategic action. More details here.

From 2021 to 2022, I worked for the Labex EFL (here). I participated in many research projects (see publications) and gave PhD-level training in statistical inferences over linguistic data.

From 2020 to 2021, I worked as an ATER (lecturer) at Université de Lille (here). I mainly taught classes there, while wrapping up my PhD. (defence Dec. 2020) and working on papers.

From 2017 to 2020, I was doing my PhD at the LLF (Laboratoire de Linguistique Formelle, CNRS), in Université Paris Cité (here).

Research

As a psycholinguist specializing in experimental syntax, my primary focus is on understanding language as a socially situated ability and its development in the social individual (i.e., children). My research is driven by two main questions:

  • How are language production and comprehension modulated at the sentence level by sentence-external factors such as context, individual goals, and social properties (e.g., socioeconomic backgrounds, cultural worlds, normative views on language)?
  • How does the relationship between language and the social properties of communication develop in an individual?

Key Research Interests:

  • Formal Modeling: Integrating sociopragmatic predictors into formal models of sentence structure to explain syntactic alternations and word choices more robustly.
  • Sociopragmatic Influences: Understanding these predictors better: i.e., how contextual and individual parameters influence sentence comprehension and production.
  • Dual Focus: Investigating both adult and child language use in social interactions to understand linguistic development and its relationship to social development.
  • Empirical and Quantitative Approach: Combining corpus and experimental data with rigorous statistical analysis.

Methodology:

  • Data Collection: Designing refined protocols for experiments that best test the envisaged phenomena based on well-defined hypotheses.
  • Statistical Analysis: Using inferential statistics within both frequentist and Bayesian frameworks, but also NLP-inspired inference trees and random forests, to draw well-informed conclusions from the data.