| Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference M Frank, KJ Alcock, N Arias-Trejo, G Aschersleben, D Baldwin, S Barbu, ... Advances in Methods and Practices in Psychological Science, 251524591990080, 2020 | 303 | 2020 |
| Simultaneous segmentation and generalisation of non-adjacent dependencies from continuous speech RLA Frost, P Monaghan Cognition 147, 70-74, 2016 | 109 | 2016 |
| Sleep underpins the plasticity of language production MG Gaskell, J Warker, S Lindsay, R Frost, J Guest, R Snowdon, ... Psychological science 25 (7), 1457-1465, 2014 | 90 | 2014 |
| Non-adjacent dependency learning in infancy, and its link to language development RLA Frost, A Jessop, S Durrant, MS Peter, A Bidgood, JM Pine, ... Cognitive Psychology 120, 2020 | 38 | 2020 |
| Mark my words: High frequency marker words impact early stages of language learning. RLA Frost, P Monaghan, MH Christiansen Journal of Experimental Psychology: Learning, Memory, and Cognition 45 (10 …, 2019 | 38 | 2019 |
| Domain-general mechanisms for speech segmentation: the role of duration information in language learning RLA Frost, PJ Monaghan, T Tatsumi Journal of Experimental Psychology: Human Perception and Performance, 2016 | 30 | 2016 |
| Word segmentation cues in German child-directed speech: A corpus analysis K Stärk, E Kidd, RLA Frost Language and Speech, 2021 | 23 | 2021 |
| Sleep-driven Computations in Speech Processing R Frost, P Monaghan PLOS ONE, 2017 | 17 | 2017 |
| Using Statistics to Learn Words and Grammatical Categories: How High Frequency Words Assist Language Acquisition RLA Frost, P Monaghan, MH Christiansen Proceedings of the 38th Annual Conference of the Cognitive Science Society, 2016 | 16 | 2016 |
| Bridging artificial and natural language learning: Comparing processing-and reflection-based measures of learning E Isbilen, RLA Frost, P Monaghan, M Christiansen Proceedings of the 40th Annual Conference of the Cognitive Science Society …, 2018 | 13 | 2018 |
| Multiple variable cues in the environment promote accurate and robust word learning P Monaghan, J Brand, RLA Frost, G Taylor Proceedings of the 39th annual conference of the cognitive science society, 2017 | 12 | 2017 |
| Close encounters of the word kind: Attested distributional information boosts statistical learning K Stärk, E Kidd, RLA Frost Language Learning 73 (2), 341-373, 2023 | 11 | 2023 |
| Statistically based chunking of nonadjacent dependencies. ES Isbilen, RLA Frost, P Monaghan, MH Christiansen Journal of Experimental Psychology: General 151 (11), 2623, 2022 | 10 | 2022 |
| The effect of children’s prior knowledge and language abilities on their statistical learning K Stärk, E Kidd, RLA Frost Applied Psycholinguistics 43 (5), 1045-1071, 2022 | 9 | 2022 |
| Insights from studying statistical learning RLA Frost, P Monaghan Current Perspectives on Child Language Acquisition: How children use their …, 2020 | 6 | 2020 |
| Testing the limits of non-adjacent dependency learning: Statistical segmentation and generalization across domains RLA Frost, ES Isbilen, MH Christiansen, P Monaghan Proceedings of the The 41st Annual Conference of the Cognitive Science …, 2019 | 6 | 2019 |
| Investigating statistical learning of nonadjacent dependencies: Running statistical learning tasks in non-WEIRD populations RLA Frost, M Casillas SAGE Research Methods Cases, 2021 | 5 | 2021 |
| Learning to generalise but not segment an artificial language at 17 months predicts children’s language skills 3 years later P Monaghan, S Donnelly, K Alcock, A Bidgood, K Cain, S Durrant, ... Cognitive Psychology 147, 101607, 2023 | 4 | 2023 |
| Exploring the “anchor word” effect in infants: Segmentation and categorisation of speech with and without high frequency words RLA Frost, K Dunn, MH Christiansen, RL Gómez, P Monaghan PloS one 15 (12), e0243436, 2020 | 4 | 2020 |
| Word for word R Frost, K Twomey, G Taylor, G Westermann, P Monaghan Nursery World 2015 (15), 21-23, 2015 | 2 | 2015 |
Padraic MonaghanLancaster UniversityEmail verificata su lancs.ac.uk