Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learnerEmmanuel Dupoux A2018-01-08articleCognition208 citationsgreenNo readable copy stored yet — this record is metadata only.Language Development and DisordersNatural Language Processing TechniquesChild and Animal Learning DevelopmentAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 208 citations exist upstream.References1964ASPECTS OF THE THEORY OF SYNTAX1950I.—COMPUTING MACHINERY AND INTELLIGENCE2015Estimating the reproducibility of psychological science2004Computing Machinery and Intelligence (1950)1994On The Language Instinct1996Statistical Learning by 8-Month-Old Infants2002The Faculty of Language: What Is It, Who Has It, and How Did It Evolve?1954Distributional StructureCited by2021Variability and Consistency in Early Language Learning2022What Artificial Neural Networks Can Tell Us about Human Language Acquisition2024Grounded language acquisition through the eyes and ears of a single child2022The Oxford Handbook of the Mental Lexicon2023Bridging the data gap between children and large language models2021Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input2020The Model of Network Consulting Communication at the Early Stages of Entrepreneurship