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20202026
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cs.CL2026

Language Ideologies in a Multilingual Society: An LLM-based Analysis of Luxembourgish News Comments

Emilia Milano, Alistair Plum, Yves Scherrer +1

Detecting language ideologies is a valuable yet complex task for understanding how identities are constructed through discourse. In Luxembourg's multicultural and multilingual soci…

cs.CL2026

ltzGLUE: Luxembourgish General Language Understanding Evaluation

Alistair Plum, Felicia Körner, Anne-Marie Lutgen +8

This paper presents ltzGLUE, the first Natural Language Understanding (NLU) benchmark for Luxembourgish (LTZ) based on the popular GLUE benchmark for English. Although NLU tasks ar…

cs.CL2026

Variation is the Norm: Embracing Sociolinguistics in NLP

Anne-Marie Lutgen, Alistair Plum, Verena Blaschke +2

In Natural Language Processing (NLP), variation is typically seen as noise and "normalised away" before processing, even though it is an integral part of language. Conversely, stud…

cs.CL2026

MUNIChus: Multilingual News Image Captioning Benchmark

Yuji Chen, Alistair Plum, Hansi Hettiarachchi +4

The goal of news image captioning is to generate captions by integrating news article content with corresponding images, highlighting the relationship between textual context and v…

cs.CL2026

Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment Prediction

Nils Schwager, Simon Münker, Alistair Plum +1

The transition of Large Language Models (LLMs) from exploratory tools to active "silicon subjects" in social science lacks extensive validation of operational validity. This study…

cs.CL2026

A Subword Embedding Approach for Variation Detection in Luxembourgish User Comments

Anne-Marie Lutgen, Alistair Plum, Christoph Purschke

This paper presents an embedding-based approach to detecting variation without relying on prior normalisation or predefined variant lists. The method trains subword embeddings on r…