Marianne de Heer Kloots

According to our database, Marianne de Heer Kloots authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Tracking the emergence of linguistic structure in self-supervised models learning from speech.

Marianne de Heer Kloots, Martijn Bentum, Hosein Mohebbi, Charlotte Pouw, Gaofei Shen, Willem H. Zuidema

CoRR, April, 2026

Vision-Language Models Align with Human Neural Representations in Concept Processing.

Anna Bavaresco, Marianne de Heer Kloots, Sandro Pezzelle, Raquel Fernández

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Linguists should learn to love speech-based deep learning models.

Marianne de Heer Kloots, Paul Boersma, Willem H. Zuidema

CoRR, December, 2025

The Curious Case of Visual Grounding: Different Effects for Speech- and Text-based Language Encoders.

Adrian Sauter, Willem H. Zuidema, Marianne de Heer Kloots

CoRR, September, 2025

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training.

Marianne de Heer Kloots, Hosein Mohebbi, Charlotte Pouw, Gaofei Shen, Willem H. Zuidema, Martijn Bentum

Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

2024

Exploring bat song syllable representations in self-supervised audio encoders.

Marianne de Heer Kloots, Mirjam Knörnschild

CoRR, 2024

Modelling Multimodal Integration in Human Concept Processing with Vision-and-Language Models.

Anna Bavaresco, Marianne de Heer Kloots, Sandro Pezzelle, Raquel Fernández

CoRR, 2024

Perception of Phonological Assimilation by Neural Speech Recognition Models.

Charlotte Pouw, Marianne de Heer Kloots, Afra Alishahi, Willem H. Zuidema

Comput. Linguistics, 2024

Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0.

Marianne de Heer Kloots, Willem H. Zuidema

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Language Models That Accurately Represent Syntactic Structure Exhibit Higher Representational Similarity To Brain Activity.

Abraham Jacob Fresen, Rochelle Choenni, Micha Heilbron, Willem H. Zuidema, Marianne de Heer Kloots

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023

ChapGTP, ILLC's Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation.

Jaap Jumelet, Michael Hanna, Marianne de Heer Kloots, Anna Langedijk, Charlotte Pouw, Oskar van der Wal

CoRR, 2023