Computational Linguistics in the Netherlands Journal 2025 — papers
The works of Computational Linguistics in the Netherlands Journal published in 2025 that our library holds: 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.
All works of the year (22)
- A Knowledge-Based Language Model: Deducing Grammatical Knowledge in a Multi-Agent Language Acquisition Simulation ↗David Shakouri, Crit Cremers, Niels Olaf Schiller
- Assessing Dutch Syllabification Algorithms and Improving Accuracy by Combining Phonetic and Orthographic Information through Deep Learning ↗Lathouwers, Gus, Harmsen, Wieke, Cucchiarini, Catia et al.
- Enriching Historical Records: An OCR and AI-Driven Approach for Database Integration ↗Zahra Abedi, Richard M. K. van Dijk, Gijs Wijnholds et al.
- Evaluating Dutch Speakers and Large Language Models on Standard Dutch: a grammatical Challenge Set based on the Algemene Nederlandse Spraakkunst ↗Julia Pestel, Jelke Bloem, Raquel G. Alhama
- Evaluating Humor Generation in an Improvisational Comedy Setting ↗Winters, Thomas, Van der Stockt, Stijn
- Evaluating LLM-Generated Topic Names via Text Reconstruction ↗Andriy Kosar, Mariia Butynets, Guy De Pauw et al.
- Exploring Cultural Variations in Moral Judgments with Large Language Models ↗Hadi Mohammadi, Ayoub Bagheri
- Exploring the use of pre-trained ASR models for automatic assessment of children’s oral reading ↗Groenhof, Bram, Harmsen, Wieke, Strik, Helmer
- From ‘nijntje’ to ‘konijn’. New methods for analyzing stress pattern acquisition ↗Wessel, Nienke, van Oostendorp, Marc
- Gender Bias and the Role of Context in Human Perception and Machine Translation ↗Janiça Hackenbuchner, Joke Daems, Arda Tezcan
- Generating Simplified Dutch Texts for Pupils Through N-Shot Learning ↗Sinnaeve, Wout, Joni Kruijsbergen, Orphée De Clercq
- Happy or lonely? Investigating mental well-being using remote methods during the COVID-19 pandemic in The Netherlands ↗Marije Kanis, Marijn Schraagen, Shihan Wang et al.
- Intrinsic evaluation of Mono- and Multilingual Dutch Language Models ↗D. Vlantis, Jelke Bloem
- LLMs as chainsaws : evaluating open-weights generative LLMs for extracting fauna and flora from multilingual travelogues ↗Tess Dejaeghere, Els Lefever, Julie M. Birkholz
- Lexical semantic change detection for Ancient Greek: dataset creation and evaluation of a word-embedding-based technique ↗Stopponi, Silvia, Nissim, Malvina, Saskia Peels‐Matthey
- Location-focused translation of flooding events in news articles ↗S. Lejeune, Iris Hendrickx
- On Dialect Typicality and Transitional Dialects ↗Ho Wang Matthew Sung
- Optimising Controllable Sentence Simplification for Dutch ↗Soete, Florelien, Vandeghinste, Vincent
- The Riddle Experiment: two groups are trying to solve a Black Story behind a screen, only one group is alive ↗Nikki Rademaker, Linthe van Rooij, Yanna Elizabeth Smid et al.
- Unlocking Domain Knowledge: Model Adaptation for Non-Normative Dutch ↗Florian Debaene, Aaron Maladry, Pranaydeep Singh et al.
- Using GPT-4 for Conventional Metaphor Detection in English News Texts ↗Jiahui Liang, Aletta G. Dorst, Jelena Prokić et al.
- Word Sense Discrimination with French Transformer Models ↗Stef Accou, Tim Van de Cruys
Works with our summary in our library (1)
- Assessing Dutch Syllabification Algorithms and Improving Accuracy by Combining Phonetic and Orthographic Information through Deep LearningComputational Linguistics in the Netherlands JournalGus Lathouwers, Wieke Harmsen, Catia Cucchiarini, et al.2025
Fields
Arts and Humanities (1)Computer Science (1)Psychology (1)
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This page in Markdown → https://md.research.elamur.ai/free/en/venues/computational-linguistics-in-the-netherlands-journal/2025/