🧒 Psycholinguistics & language acquisition
How people read, hear and learn language, and models that behave like them.
- A Survey of Idiom Datasets for Psycholinguistic and Computational ResearchMichael Flor, Xinyi Liu, Anna Feldman2025 · 5 citations
- UD-English-CHILDES: A Collected Resource of Gold and Silver Universal Dependencies Trees for Child Language InteractionsXiulin Yang, Zhuoxuan Ju, Lanni Bu, et al.2025 · 4 citations
- Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference ContextMarion Bartl, Thomas Brendan Murphy, Susan Leavy2025 · 3 citations
- TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in HebrewAnita Gelboim, Elior Sulem2025 · 3 citations
- What did you say? Generating Child-Directed Speech Questions to Train LLMsWhitney Poh, Michael Tombolini, Libby Barak2025 · 3 citations
- A Language-agnostic Model of Child Language AcquisitionLouis Mahon, Omri Abend, Uri Berger, et al.2024 · 3 citations
- Recurrent Networks Are (Linguistically) Better? An (Ongoing) Experiment on Small-LM Training on Child-Directed Speech in ItalianAchille Fusco, Matilde Barbini, Maria Letizia Piccini Bianchessi, et al.2024 · 3 citations
- Are idioms surprising?J. Nathanael Philipp, Michael Richter, Erik Daas, et al.2023 · 3 citations
- Measuring Language Development in Early Childhood Education: A Case Study of Grammar Checking in Child Language TranscriptsKhairun-nisa Hassanali, Yang Liu2011 · 3 citations
- Using Curriculum Masking Based on Child Language Development to Train a Large Language Model with Limited Training DataEvan Lucas, Dylan Gaines, Tagore Rao Kosireddy, et al.2024 · 2 citations
- Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed SpeechIda Szubert, Omri Abend, Nathan Schneider, et al.2021 · 2 citations
- Surprisal and Satisfaction: Towards an Information-theoretic Characterization of Presuppositions with a Diachronic ApplicationRemus Gergel, Martin Kopf-Giammanco, Julia Masloh2017 · 2 citations
- A Corpus of Joint EEG and Self-Paced Reading of Natural Dutch TextsSara Møller Østergaard, Lenneke Doris Lichtenberg, Laura Boon, et al.2026 · 1 citation
- An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via SurprisalRyo Yoshida, Shinnosuke Isono, Taiga Someya, et al.2026 · 1 citation
- Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze SurprisalSathvik Nair, Byung-Doh Oh2026 · 1 citation
- Human-like Fleeting Memory Improves Language Learning but Impairs Reading Time Prediction in Transformer Language ModelsAbishek Thamma, Micha Heilbron2026 · 1 citation
- Probing for Reading TimesEleftheria Tsipidi, Samuel Kiegeland, Francesco Ignazio Re, et al.2026 · 1 citation
- Surprisal and Metaphor Novelty Judgments: Moderate Correlations and Divergent Scaling Effects Revealed by Corpus-Based and Synthetic DatasetsOmar Momen, Emilie Sitter, Berenike Herrmann, et al.2026 · 1 citation
- What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap DependenciesZhenghao Zhou, William Dai, Maya Viswanathan, et al.2026 · 1 citation
- Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language DevelopmentKo Yoshida, Daiki Shiono, Kai Sato, et al.2025 · 1 citation
- Universal Dependencies and Semantics for English and Hebrew Child-directed SpeechIda Szubert, Omri Abend, Nathan Schneider, et al.2022 · 1 citation
- The Importance of Category Labels in Grammar Induction with Child-directed UtterancesLifeng Jin, William Schuler2020 · 1 citation
- Aggregated Transformer Attention Measures Predict Reading Times Beyond SurprisalLukas Mielczarek, Laura Kallmeyer2026
- Big Five Personality Prediction through Emotion-Conditioned Representations and Learnable Psycholinguistic MappingLorenzo Zangari, Antonin Schnyder, Davide Picca2026
- Causal Inferences Are Driven by Noun Concept Specificity Evidence from Self-Paced Reading and Large Language Model SurprisalFabian Schlotterbeck, Raphael Barth2026
- Child-directed speech facilitates production, not comprehension, in BabyLMsBastian Bunzeck, Sina Zarrieß2026
- From CHAT to Coded CoNLL-U: A Reproducible Pipeline for the Syntactic Annotation and Querying of Child Language DataAchim Stein2026
- Modeling the Memory-Surprisal Trade-Off over Time: Communicative Efficiency Decreases with Lexico-Grammatical Change in Scientific EnglishJulius Steuer, Marie-Pauline Krielke, Stefania Degaetano-Ortlieb, et al.2026
- Pragmatic Modelling in Language Learning: Caregiver Question-Answer Feedback in Child-Directed DialogueMaryam Bala, Johannes Heim, Elspeth Edelstein, et al.2026
- Probing the Attention Representation of Filler-Gap Dependency in TransformersRuoqing Yao, Pranav Anand2026
- Reading Time in the Wild: An Assessment of Readability Predictors Based on Naturally-Observed Reading TimesSijbren van Vaals, Rik van Noord, Malvina Nissim2026
- Semantic Information: A Difference That Makes a DifferenceJ. Nathanael Philipp, Max Kölbl, Michael Richter2026
- The Frequency Confound in Language-Model Surprisal and Metaphor NoveltyOmar Momen, Sina Zarrieß2026
- Toward Cognitive Alignment in Large Language Models: Integrating Linguistic Theory and Human DataWajdi Zaghouani2026
- Transformer Attention as a Unified Model of Encoding and Retrieval in Human Sentence ProcessingDan Parker2026
- What Kind of Language is Easy to Language-Model Under Curriculum Learning?Nadine El-Naggar, Tatsuki Kuribayashi, Ted Briscoe2026
- Word predictability estimates from language models are not robust to tokenizer vocabularyKien Nguyen, Suhas Arehalli2026
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