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title: "Society for Computation in Linguistics (SCiL) — works"
description: "33 works of Society for Computation in Linguistics (SCiL) in our library, the most cited first."
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# Works of Society for Computation in Linguistics (SCiL)

33 works · the most cited first · [← Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)

1. [**A closer look at the performance of neural language models on reflexive anaphor licensing**Jennifer Hu, Sherry Yong Chen, Roger Levy*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/hu-2020-closer-look-performance-neural-language/)
2. [**Predicting scalar inferences from "or" to "not both" using neural sentence encoders**Elissa Li, Sebastian Schuster, Judith Degen*2021 · 15 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-predicting-scalar-inferences-or-not/)
3. [**Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity**Debanjan Ghosh, Elena Musi, Smaranda Muresan*2020 · 10 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2020-interpreting-verbal-irony-linguistic-strategies/)
4. [**Can language models capture syntactic associations without surface cues? A case study of reflexive anaphor licensing in English control constructions**Soo-Hwan Lee, Sebastian Schuster*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/lee-2022-can-language-models-capture-syntactic/)
5. [**Parsing Early Modern English for Linguistic Search**Seth Kulick, Neville Ryant, Beatrice Santorini*2022 · 4 citations*](https://md.research.elamur.ai/free/en/papers/kulick-2022-parsing-early-modern-english-linguistic/)
6. [**Tell Me Everything You Know: A Conversation Update System for the Rational Speech Acts Framework**Carolyn Jane Anderson*2021 · 4 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2021-tell-me-everything-you-know/)
7. [**Subject-verb agreement with Seq2Seq transformers: Bigger is better, but still not best**Michael Wilson, Zhenghao Zhou, Robert Frank*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/wilson-2023-subject-verb-agreement-seq2seq-transformers/)
8. [**Analogy in Contact: Modeling Maltese Plural Inflection**Sara Court, Andrea D. Sims, Micha Elsner*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/court-2023-analogy-contact-modeling-maltese-plural/)
9. [**Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering**Polina Tsvilodub, Robert D. Hawkins, Michael Franke*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/tsvilodub-2025-integrating-neural-symbolic-components-model/)
10. [**Universal Dependencies and Semantics for English and Hebrew Child-directed Speech**Ida Szubert, Omri Abend, Nathan Schneider, et al.*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/szubert-2022-universal-dependencies-semantics-english-hebrew/)
11. [**Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?**Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal*2021 · 1 citation*](https://md.research.elamur.ai/free/en/papers/bansal-2021-can-rnns-trained-harder-subject/)
12. [**A Logical Analysis of Autosegmental Approaches to Root-and-Pattern Morphology in Arabic**Sarah Payne*2026*](https://md.research.elamur.ai/free/en/papers/payne-2026-logical-analysis-autosegmental-approaches-root/)
13. [**Non-literal Meaning Representation in the Brain during Naturalistic Listening**Zhengwu Ma, Yuhan Huang, Chengcheng Wang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ma-2026-non-literal-meaning-representation-brain/)
14. [**How much capacity does Turkish inflection require? An empirical study of GRU encoder–decoder bottlenecks.**Fred Mailhot*2026*](https://md.research.elamur.ai/free/en/papers/mailhot-2026-how-much-capacity-does-turkish/)
15. [**Rating-based property axes: Agentivity and split intransitivity**Eva Neu, Brian Dillon, Katrin Erk*2026*](https://md.research.elamur.ai/free/en/papers/neu-2026-rating-based-property-axes-agentivity/)
16. [**Learning Latent Representations with Progressive Hypothesis Space Expansion**Jonathan Charles Paramore*2026*](https://md.research.elamur.ai/free/en/papers/paramore-2026-learning-latent-representations-progressive-hypothesis/)
17. [**A Feature-Driven Tensor Semantics for Minimalist Grammars**John Paulson, Aniello De Santo, Jonathan Rawski*2026*](https://md.research.elamur.ai/free/en/papers/paulson-2026-feature-driven-tensor-semantics-minimalist/)
18. [**Learning Stress in Arabic Low-Resource Settings**Abed Qaddoumi, Salam Khalifa, Jordan Kodner, et al.*2026*](https://md.research.elamur.ai/free/en/papers/qaddoumi-2026-learning-stress-arabic-low-resource/)
19. [**Small Neural Networks as Models of Cross-Linguistic Speech Perception**Annika Shankwitz*2026*](https://md.research.elamur.ai/free/en/papers/shankwitz-2026-small-neural-networks-as-models/)
20. [**Determinants of Hesitations and Repetitions in Hindi Spontaneous Speech**Eashani Sharma, Ishita Arun, Samar Husain*2026*](https://md.research.elamur.ai/free/en/papers/sharma-2026-determinants-hesitations-repetitions-hindi-spontaneous/)
21. [**Efficient universal generation in a fragment of Optimality Theory**Paul Siewert*2026*](https://md.research.elamur.ai/free/en/papers/siewert-2026-efficient-universal-generation-fragment-optimality/)
22. [**Fine-tuning Whisper Across 81 Languages**Shivam Singh, Alex Warstadt*2026*](https://md.research.elamur.ai/free/en/papers/singh-2026-fine-tuning-whisper-across-81/)
23. [**The Development of Spectral and Temporal Encodings in Speech Sounds**Frank Lihui Tan, Youngah Do*2026*](https://md.research.elamur.ai/free/en/papers/tan-2026-development-spectral-temporal-encodings-speech/)
24. [**Frequency modulates structural choice in Turkish suspended affixation: a latent-process account**Utku Turk, Eva Neu, Özge Bakay, et al.*2026*](https://md.research.elamur.ai/free/en/papers/turk-2026-frequency-modulates-structural-choice-turkish/)
25. [**Quantifying the cross-linguistic effects of syncretism on agreement attraction**Utku Turk, Eva Neu*2026*](https://md.research.elamur.ai/free/en/papers/turk-2026-quantifying-cross-linguistic-effects-syncretism/)
26. [**Omnivorous Agreement, like Uyghur Backness Harmony, is a Challenge for Tier-Based Strict Locality**Allison Verbil, Tim Hunter*2026*](https://md.research.elamur.ai/free/en/papers/verbil-2026-omnivorous-agreement-like-uyghur-backness/)
27. [**Do I know what I want to say? Modeling meaning uncertainty in RSA**Anzi Wang, Carolyn Jane Anderson, Grusha Prasad*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-do-i-know-what-i/)
28. [**Learning Process Interaction Through Simplex ISL Transducers**Chenli Wang, Adam Jardine*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-process-interaction-through-simplex/)
29. [**Learning reduplicative templates as hidden structures: the case of reduplication-phonology interactions**Yang Wang*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-reduplicative-templates-as-hidden/)
30. [**Probing the Attention Representation of Filler-Gap Dependency in Transformers**Ruoqing Yao, Pranav Anand*2026*](https://md.research.elamur.ai/free/en/papers/yao-2026-probing-attention-representation-filler-gap/)
31. [**Phonological Processes as Modal Transductions**Tatevik Yolyan, Jesse Comer*2026*](https://md.research.elamur.ai/free/en/papers/yolyan-2026-phonological-processes-as-modal-transductions/)
32. [**A Transparent Model of Syntactic and Semantic Cue-based Retrieval**Shisen Yue, John T. Hale*2026*](https://md.research.elamur.ai/free/en/papers/yue-2026-transparent-model-syntactic-semantic-cue/)
33. [**Roles of Predictability and Acoustic Distance in Sound Discrimination via Contrastive Learning**Shuhao Zhang, Youngah Do*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-roles-predictability-acoustic-distance-sound/)
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