| Word categorization from distributional information: Frames confer more than the sum of their (Bigram) parts TH Mintz, FH Wang, J Li Cognitive psychology 75, 1-27, 2014 | 74 | 2014 |
| Successfully learning non-adjacent dependencies in a continuous artificial language stream FH Wang, J Zevin, TH Mintz Cognitive Psychology 113, 101223, 2019 | 18 | 2019 |
| Spotting Dalmatians: Children’s ability to discover subordinate-level word meanings cross-situationally FH Wang, JC Trueswell Cognitive psychology 114, 101226, 2019 | 14 | 2019 |
| The role of reference in cross-situational word learning FH Wang, TH Mintz Cognition 170, 64-75, 2018 | 14 | 2018 |
| Explicit and implicit memory representations in cross-situational word learning FH Wang Cognition 205, 104444, 2020 | 13 | 2020 |
| Top-down structure influences learning of nonadjacent dependencies in an artificial language. FH Wang, JD Zevin, TH Mintz Journal of Experimental Psychology: General 146 (12), 1738, 2017 | 12 | 2017 |
| Learning nonadjacent dependencies embedded in sentences of an artificial language: When learning breaks down. FH Wang, TH Mintz Journal of Experimental Psychology: Learning, Memory, and Cognition 44 (4), 604, 2018 | 11 | 2018 |
| Top-down grouping affects adjacent dependency learning FH Wang, JD Zevin, JC Trueswell, TH Mintz Psychonomic Bulletin & Review 27, 1052-1058, 2020 | 10 | 2020 |
| Being suspicious of suspicious coincidences: The case of learning subordinate word meanings FH Wang, J Trueswell Cognition 224, 105028, 2022 | 9 | 2022 |
| Statistical learning of unfamiliar sounds as trajectories through a perceptual similarity space FH Wang, EA Hutton, JD Zevin Cognitive Science 43 (8), e12740, 2019 | 8 | 2019 |
| Statistical word segmentation succeeds given the minimal amount of exposure FH Wang, M Luo, S Wang Psychonomic bulletin & review 31 (3), 1172-1180, 2024 | 1 | 2024 |
| Four‐and six‐year‐old children track a single meaning with both familiar and unfamiliar referents when the referent is clear: More evidence for propose‐but‐verify FH Wang, M Luo, N Li Developmental Science 27 (2), e13441, 2024 | 1 | 2024 |
| Perceptual intake explains variability in statistical word segmentation FH Wang, M Luo, S Wang Cognition 241, 105612, 2023 | 1 | 2023 |
| Linguistic Priming and Learning Adjacent and Nonadjacent Dependencies in Serial Reaction Time Tasks FH Wang, E Kaiser Language Learning 72 (3), 695-727, 2022 | 1 | 2022 |
| Grammatical Bracketing Determines Learning of Non-adjacent Dependencies. H Wang, JD Zevin, T Mintz CogSci, 2016 | 1 | 2016 |
| Statistical Structures in Artificial languages Prime Relative Clause Attachment Biases in English. F Wang, M Menon, E Kaiser CogSci, 2015 | 1 | 2015 |
| Pragmatic inferencing influences the referential status of all potential referents in word learning FH Wang Journal of Memory and Language 139, 104555, 2024 | | 2024 |
| The speed of detection vs. segmentation from continuous sequences: Evidence for an anticipation mechanism for detection through a computational model M Luo, R Cao, FH Wang eLife 13, 2024 | | 2024 |
| Iambic Bias in Parsing Syllable Sequences by English Speakers R Budnick, F Wang Proceedings of the Annual Meeting of the Cognitive Science Society 40, 2018 | | 2018 |
| A New Model of Statistical Learning: Trajectories Through Perceptual Similarity Space EA Hutton, FH Wang, JD Zevin Proceedings of the Annual Meeting of the Cognitive Science Society 39, 2017 | | 2017 |
Toben MintzUniversity of Southern CaliforniaVerified email at usc.edu