| Localising memory retrieval and syntactic composition: an fMRI study of naturalistic language comprehension S Bhattasali, M Fabre, WM Luh, H Al Saied, M Constant, C Pallier, ... Language, Cognition and Neuroscience 34 (4), 491-510, 2019 | 49 | 2019 |
| Automatic Identification of Rhetorical Questions S Bhattasali, J Cytryn, E Feldman, J Park Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 27 | 2015 |
| Neurocomputational models of language processing JT Hale, L Campanelli, J Li, S Bhattasali, C Pallier, JR Brennan Annual Review of Linguistics 8, 427-446, 2022 | 17 | 2022 |
| Eelbrain: A Python toolkit for time-continuous analysis with temporal response functions C Brodbeck, P Das, M Gillis, JP Kulasingham, S Bhattasali, P Gaston, ... BioRxiv, 2021.08. 01.454687, 2021 | 16 | 2021 |
| The Alice Datasets: fMRI & EEG observations of natural language comprehension S Bhattasali, J Brennan, WM Luh, B Franzluebbers, J Hale Proceedings of the 12th Language Resources and Evaluation Conference, 120-125, 2020 | 16 | 2020 |
| Parallel processing in speech perception with local and global representations of linguistic context C Brodbeck, S Bhattasali, AALC Heredia, P Resnik, JZ Simon, E Lau ELife 11, e72056, 2022 | 14 | 2022 |
| Le Petit Prince: A multilingual fMRI corpus using ecological stimuli J Li, S Bhattasali, S Zhang, B Franzluebbers, WM Luh, RN Spreng, ... Biorxiv, 2021.10. 02.462875, 2021 | 7 | 2021 |
| Modeling incremental language comprehension in the brain with Combinatory Categorial Grammar M Stanojević, S Bhattasali, D Dunagan, L Campanelli, M Steedman, ... Proceedings of the workshop on cognitive modeling and computational …, 2021 | 7 | 2021 |
| Differentiating phrase structure parsing and memory retrieval in the brain S Bhattasali, J Hale, C Pallier, J Brennan, WM Luh, RN Spreng Proceedings of the Society for Computation in Linguistics 1 (1), 74-80, 2018 | 6 | 2018 |
| Le Petit Prince multilingual naturalistic fMRI corpus J Li, S Bhattasali, S Zhang, B Franzluebbers, WM Luh, RN Spreng, ... Scientific data 9 (1), 530, 2022 | 3 | 2022 |
| Neural correlates of semantic number: A cross-linguistic investigation D Dunagan, S Zhang, J Li, S Bhattasali, C Pallier, J Whitman, Y Yang, ... Brain and Language 229, 105110, 2022 | 3 | 2022 |
| Using surprisal and fMRI to map the neural bases of broad and local contextual prediction during natural language comprehension S Bhattasali, P Resnik Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 2 | 2021 |
| Modeling conventionalization and predictability within MWEs at the brain level S Bhattasali, M Fabre, C Pallier, J Hale Proceedings of the Society for Computation in Linguistics 2020, 313-322, 2020 | 2 | 2020 |
| Processing MWEs: Neurocognitive Bases of Verbal MWEs and Lexical Cohesiveness within MWEs. S Bhattasali, M Fabre, J Hale LAW-MWE-CxG@ COLING, 6-17, 2018 | 2 | 2018 |
| Computational Approach to Bengali Stress S Bhattasali Cornell Working Papers in Phonetics and Phonology, 2016 | 2 | 2016 |
| Data from: Parallel processing in speech perception with local and global representations of linguistic context C Brodbeck, S Bhattasali, AA Cruz Heredia, P Resnik, JZ Simon, E Lau Dryad, 2022 | 1 | 2022 |
| Differentiating between broad & local context cues using surprisal: An fMRI study S Bhattasali, P Resnik Poster presented at the 33rd annual CUNY Human Sentence Processing …, 2020 | 1 | 2020 |
| Modeling Conventionalization and Predictability in Multi-Word Expressions at Brain-level M Fabre, S Bhattasali, C Pallier, J Hale CRCNS 2019, 2019 | 1 | 2019 |
| Diathesis alternations and selectional restrictions: A fMRI study S Bhattasali, J Hale Annual Meeting of the Chicago Linguistic Society 55, 33-43, 2019 | 1 | 2019 |
| Diathesis alternations and selectional restrictions in sentence processing: A fMRI study S Bhattasali, J Hale Proceedings of the 55th Meeting of the Chicago Linguistic Society (CLS 55), 2019 | 1 | 2019 |
