Connectionist-Inspired Incremental PCFG Parsing. - Marten van Schijndel; Andrew Exley; William Schuler (CMCL@NAACL-HLT, 2012)

Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars. - Luan Nguyen; Marten van Schijndel; William Schuler (COLING, 2012)

An Analysis of Memory-based Processing Costs using Incremental Deep Syntactic Dependency Parsing. - Marten van Schijndel; Luan Nguyen; William Schuler (CMCL, 2013)

An Analysis of Frequency- and Memory-Based Processing Costs. - Marten van Schijndel; William Schuler (HLT-NAACL, 2013)

A Model of Language Processing as Hierarchic Sequential Prediction. - Marten van Schijndel; Andrew Exley; William Schuler (Top. Cogn. Sci., 2013)

Bootstrapping into Filler-Gap: An Acquisition Story. - Marten van Schijndel; Micha Elsner (ACL (1), 2014)

Frequency effects in the processing of unbounded dependencies. - Marten van Schijndel; William Schuler; Peter W. Culicover (CogSci, 2014)

Evidence of syntactic working memory usage in MEG data. - Marten van Schijndel; Brian Murphy; William Schuler (CMCL@NAACL-HLT, 2015)

Hierarchic syntax improves reading time prediction. - Marten van Schijndel; William Schuler (HLT-NAACL, 2015)

AZMAT: Sentence Similarity Using Associative Matrices. - Evan Jaffe; Lifeng Jin; David King; Marten van Schijndel (SemEval@NAACL-HLT, 2015)

Addressing surprisal deficiencies in reading time models. - Marten van Schijndel; William Schuler (CL4LC@COLING 2016, 2016)

Memory access during incremental sentence processing causes reading time latency. - Cory Shain; Marten van Schijndel; Richard Futrell; Edward Gibson; William Schuler (CL4LC@COLING 2016, 2016)

Approximations of Predictive Entropy Correlate with Reading Times. - Marten van Schijndel; William Schuler (CogSci, 2017)

Modeling garden path effects without explicit hierarchical syntax. - Marten van Schijndel; Tal Linzen (CogSci, 2018)

A Neural Model of Adaptation in Reading. - Marten van Schijndel; Tal Linzen (EMNLP, 2018)

Can Entropy Explain Successor Surprisal Effects in Reading? - Marten van Schijndel; Tal Linzen (CoRR, 2018)

Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models. - Grusha Prasad; Marten van Schijndel; Tal Linzen (CoNLL, 2019)

Quantity doesn't buy quality syntax with neural language models. - Marten van Schijndel; Aaron Mueller; Tal Linzen (EMNLP/IJCNLP (1), 2019)

Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment. - Forrest Davis; Marten van Schijndel (ACL, 2020)

Interaction with Context During Recurrent Neural Network Sentence Processing. - Forrest Davis; Marten van Schijndel (CogSci, 2020)

Filler-gaps that neural networks fail to generalize. - Debasmita Bhattacharya; Marten van Schijndel (CoNLL, 2020)

Discourse structure interacts with reference but not syntax in neural language models. - Forrest Davis; Marten van Schijndel (CoNLL, 2020)

Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning. - Forrest Davis; Marten van Schijndel (ACL/IJCNLP (1), 2021)

To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase Text. - Matt Wilber; William Timkey; Marten van Schijndel (ACL/IJCNLP (Findings), 2021)

All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality. - William Timkey; Marten van Schijndel (EMNLP (1), 2021)

Single-Stage Prediction Models Do Not Explain the Magnitude of Syntactic Disambiguation Difficulty. - Marten van Schijndel; Tal Linzen (Cogn. Sci., 2021)

Discourse Context Predictability Effects in Hindi Word Order. - Sidharth Ranjan; Marten van Schijndel; Sumeet Agarwal; Rajakrishnan Rajkumar (EMNLP, 2022)

Dual Mechanism Priming Effects in Hindi Word Order. - Sidharth Ranjan; Marten van Schijndel; Sumeet Agarwal; Rajakrishnan Rajkumar (AACL/IJCNLP (1), 2022)

Linguistic Compression in Single-Sentence Human-Written Summaries. - Fangcong Yin; Marten van Schijndel (EMNLP (Findings), 2023)

Semantics or spelling? Probing contextual word embeddings with orthographic noise. - Jacob Matthews; John Starr; Marten van Schijndel (ACL (Findings), 2024)

Does Dependency Locality Predict Non-canonical Word Order in Hindi? - Sidharth Ranjan; Marten van Schijndel (CoRR, 2024)

Code-switching in text and speech reveals information-theoretic audience design. - Debasmita Bhattacharya; Marten van Schijndel (CoRR, 2024)

Disentangling language change: sparse autoencoders quantify the semantic evolution of indigeneity in French. - Jacob Matthews; Laurent Dubreuil; Imane Terhmina; Yunci Sun; Matthew Wilkens; Marten van Schijndel (NAACL (Long Papers), 2025)

Losing Phonotactic Distinctions in Context. - John Starr; Marten van Schijndel (Cogn. Sci., 2025)