---
title: "Adelaide Couplet — author profile and papers in our library"
description: "Adelaide Couplet, University of Namur: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/adelaide-couplet/"
---
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# Adelaide Couplet

Adelaide Couplet has 2 papers in our library, in 2026; often with [Ariel Basso Madjoukeng](https://md.research.elamur.ai/free/en/authors/ariel-basso-madjoukeng/), [Margaux Leleu](https://md.research.elamur.ai/free/en/authors/margaux-leleu/), [Pierre Poitier](https://md.research.elamur.ai/free/en/authors/pierre-poitier/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5137914845) · [**h-index 0**](https://openalex.org/authors/A5137914845) · [3 works](https://openalex.org/works?filter=author.id:A5137914845) · [0 citations](https://openalex.org/works?filter=author.id:A5137914845&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/adelaide-couplet/#papers) · [⭐ Paper Stars ranking: #11874](https://md.research.elamur.ai/free/en/paper-stars/page/119/#star-11874)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Adelaide+Couplet) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Adelaide+Couplet) · [dblp](https://dblp.org/search?q=Adelaide+Couplet) · [ACL Anthology](https://aclanthology.org/search/?q=Adelaide+Couplet)

## Affiliations

[🎓**University of Namur** Namur · Belgium 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-namur/) · [🔬**Namur Digital Institute** Namur · Belgium 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/namur-digital-institute/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Human-Computer Interaction · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Developmental and Educational Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/adelaide-couplet/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Leveraging Unannotated Sign Language Data via a Robust Data Augmentation Method for Contrastive Representation Learning](https://md.research.elamur.ai/free/en/papers/madjoukeng-2026-leveraging-unannotated-sign-language-data/)** *(2026)* Annotated sign language data is scarce. The paper cites roughly 100 hours of expert work to label a single hour of video, and many of the world's 300+ sign languages are only partially annotated. Contrastive self-supervised pretraining can exploit unlabelled video, but the quality of what it learns depends on how…
2. **[Long-Term Sign Language Data Crowdsourcing Through Collaborative Lexicons](https://md.research.elamur.ai/free/en/papers/poitier-2026-long-term-sign-language-data/)** *(2026)* Sign languages such as French Belgian Sign Language (LSFB) have very little digital data. The available corpora are mostly recorded in studios, cost a lot to annotate, and do not keep up with how quickly signing vocabulary changes. Poitier et al. present Mot-Signe (MOSI), a free public French–LSFB lexicon built…

## Co-authors here

3 co-authors with a page, the most papers together first.

- [Ariel Basso Madjoukeng](https://md.research.elamur.ai/free/en/authors/ariel-basso-madjoukeng/) ×2
- [Margaux Leleu](https://md.research.elamur.ai/free/en/authors/margaux-leleu/) ×2
- [Pierre Poitier](https://md.research.elamur.ai/free/en/authors/pierre-poitier/) ×2

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [LREC Workshop on the Representation and Processing of Sign Languages: Language in Motion](https://md.research.elamur.ai/free/en/venues/signlang/) ×2: [LREC Workshop on the Representation and Processing of Sign Languages: Language in Motion 2026](https://md.research.elamur.ai/free/en/venues/signlang/2026/) ×2

Updated 1 November 2026
