| The discriminative lexicon: A unified computational model for the lexicon and lexical processing in comprehension and production grounded not in (de) composition but in linear … RH Baayen, YY Chuang, E Shafaei-Bajestan, JP Blevins Complexity 2019, 2019 | 212 | 2019 |
| The processing of pseudoword form and meaning in production and comprehension: A computational modeling approach using linear discriminative learning YY Chuang, ML Vollmer, E Shafaei-Bajestan, S Gahl, P Hendrix, ... Behavior research methods 53, 945-976, 2021 | 67 | 2021 |
| Wide Learning for Auditory Comprehension. E Shafaei-Bajestan, RH Baayen Interspeech, 966-970, 2018 | 28 | 2018 |
| languageR: Analyzing linguistic data: A practical introduction to statistics RH Baayen, E Shafaei-Bajestan R package version 1 (0), 2019 | 21 | 2019 |
| LDL-AURIS: a computational model, grounded in error-driven learning, for the comprehension of single spoken words E Shafaei-Bajestan, M Moradipour-Tari, P Uhrig, RH Baayen Language, Cognition and Neuroscience 38 (4), 509-536, 2023 | 20 | 2023 |
| Pyndl: Naive discriminative learning in python K Sering, M Weitz, E Shafaei-Bajestan, DE Künstle Journal of Open Source Software 7 (80), 4515, 2022 | 16 | 2022 |
| DErivCELEX: Development and evaluation of a German derivational morphology lexicon based on CELEX ES Bajestan, D Frassinelli, G Lapesa, S Padó Proceedings of the Workshop on Resources and Tools for Derivational …, 2017 | 14 | 2017 |
| LDL-AURIS: error-driven learning in modeling spoken word recognition E Shafaei-Bajestan, M Moradipour-Tari, P Uhrig, RH Baayen PsyArXiv (Preprent). doi 10, 2020 | 13 | 2020 |
| languageR: Analyzing Linguistic Data: A Practical Introduction to Statistics.(R package version 1.5. 0) RH Baayen, E Shafaei-Bajestan | 12 | 2019 |
| Exploring semantic differences between the Indonesian prefixes PE- and PEN- using a vector space model K Denistia, E Shafaei-Bajestan, RH Baayen Corpus Linguistics and Linguistic Theory 18 (3), 573-598, 2022 | 11 | 2022 |
| On the processing of nonwords in word naming and auditory lexical decision YY Chuang, M Vollmer, E Shafaei-Bajestan, S Gahl, P Hendrix, ... PsyArXiv, 2020 | 8 | 2020 |
| Language with vision: a study on grounded word and sentence embeddings H Shahmohammadi, M Heitmeier, E Shafaei-Bajestan, HPA Lensch, ... Behavior Research Methods, 1-25, 2023 | 7 | 2023 |
| Semantic properties of English nominal pluralization: Insights from word embeddings E Shafaei-Bajestan, M Moradipour-Tari, P Uhrig, RH Baayen arXiv preprint arXiv:2203.15424, 2022 | 7 | 2022 |
| Making sense of spoken plurals E Shafaei-Bajestan, P Uhrig, RH Baayen The Mental Lexicon 17 (3), 337-367, 2022 | 4 | 2022 |
| Predictive articulatory speech synthesis with semantic discrimination P Schmidt-Barbo, E Shafaei-Bajestan, K Sering Konferenz Elektronische Sprachsignalverarbeitung, 177-184, 2021 | 4 | 2021 |
| Semantic vector model on the Indonesian prefixes PE-and PEN K Denistia, E Shafaei-Bajestan, RH Baayen | 2 | 2019 |
| How direct is the link between words and images? H Shahmohammadi, M Heitmeier, E Shafaei-Bajestan, HPA Lensch, ... The Mental Lexicon, 2024 | | 2024 |
| Visual grounding of abstract and concrete words: A response to G\" unther et al.(2020) H Shahmohammadi, M Heitmeier, E Shafaei-Bajestan, H Lensch, ... arXiv preprint arXiv:2206.15381, 2022 | | 2022 |
| LDL-AURIS: A computational model, grounded in error-driven learning, for the comprehension of single spoken words E Shafaei-Bajestan, M Moradipour-Tari, P Uhrig, RH Baayen PsyArXiv, 2020 | | 2020 |
| Discriminative lexicon simulations material F Nenadić, BV Tucker, E Shafaei-Bajestan, YY Chuang, RH Baayen | | 2020 |
