A bit about Franklin Chang
My research examines the relationship between learning and processing through the use of connectionist models and human experiments. I am an associate professor at Kobe City University for Foreign Studies in Kobe, Japan. Previously, I was a lecturer at the School of Psychology at the University of Liverpool. Before that, I was an assistant professor in the Department of English Language and Literature at Hanyang University in Seoul, South Korea. And before that, I was a research associate in the CLIP section of the Natural Language Research Group in the NTT Communication Science Laboratories near Kyoto, Japan. I have also worked at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany with Michael Tomasello and Elena Lieven on issues in language acquisition. I did my PhD on sentence production in the Department of Psychology at University of Illinois (Beckman Institute) with Gary Dell and Kathryn Bock.
Visit my google page for my CV and full publications list.
My Role in LuCiD
I led the Language Researcher’s toolkit which is going to be set of computational tools to allow language researchers to apply computational linguistic methods to child language corpora.
I was also in charge of a project which focuses on the role of visual information in language acquisition and language use.
LuCiD publications (22) by Franklin Chang
Durrant, S., Jessop, A., Chang, F., Bidgood, A., Peter, M. S., Pine, J. M. & Rowland, C. F. (in press) (2020). Does the understanding of complex dynamic events at 10 months predict vocabulary development? Language and Cognition
Tatsumi, T., Chang, F. & Pine, J. M. (2020). Exploring the acquisition of verb inflections in Japanese: A probabilistic analysis of seven adult-child corpora. First Language.https://doi.org/10.1177/0142723720926320
Jessop, A. & Chang, F. (2019). Thematic role information is maintained in the visual object tracking system. Quarterly Journal of Experimental Psychology . 10.1177/1747021819882842
Fitz, H., Chang, F. (2019). Language ERPs reflect learning through prediction error propagation. Cognitive Psychology, 111, 15-52.
Chang, F. (2019). Early developing prerequisites for human interactive task learning. In K. A. Gluck and J. E. Laird (Eds), Interactive Task Learning: Agents, Robots, and Humans Acquiring New Tasks through Natural Interactions. Cambridge MA: MIT Press
Samanta, S. and Chang, F. (2018). Modelling Human Understanding of Thematic Roles with Motion Heuristics Proceedings of the 17th IEEE International Conference on Machine Learning and Applications. Orlando, USA
Jessop, A. & Chang F. (2018). Difficulties tracking role-referent switches can help to explain the subject/object relative clause asymmetry. Talk presented at the Architecture and Mechanisms of Language Processing Conference. Berlin, Germany
Chang, F. (2017). Interactive task learning: Agents, robots, and humans acquiring new tasks through natural interaction. Invited to join Struegmann forum
Lawson, R., Chang, F., & Wills, A. (2017). Free classification of large sets of everyday objects is more thematic than taxonomic. Acta Psychologia, 172, 26-40
Abbot-Smith, K., Chang, F., Rowland, C., Ferguson, H. & Pine, J. (2017). Do two and three year old children use an incremental first-NP-as-agent bias to process active transitive and passive sentences? A permutation analysis. PLoS ONE 12 (10): e0186129
Chan, A., Yang, W., Chang, F., & Kidd, E. (2018). Four-year-old Cantonese-speaking children’s online processing of relative clauses: A permutation analysis. Journal of Child Language, 45(1), 174-203.
Fitz, H. & Chang, F. (2017). Meaningful questions: The acquisition of auxiliary inversion in a connectionist model of sentence production. (1) Cognition, 166, 225-250
Fitz, H. & Chang, F. (2017). Meaningful questions: The acquisition of auxiliary inversion in a connectionist model of sentence production. Cognition, 166, 225-250.
Janciauskas, M. & Chang, F. (2018). Input and age-dependent variation in second language learning: A connectionist account. Cognitive Science,42(2), 519-554.
Chang, F. (2016). Linguistic adaptation as language learning: Linking L1 and L2 theories. Paper presented at the Japanese Society for Language Studies Annual Conference. Tokyo, Japan.
Twomey, K. E., Chang, F., & Ambridge, B. (2016). Lexical distributional cues, but not situational cues, are readily used to learn abstract locative verb-structure associations. Cognition, 153, 124–139.
Durrant, S., Rowland, C. F. , Chang, F., Jessop, A., Bidgood, A., Peter, M. (2016). Chasing, causality and goals: Conceptual understanding at 9 months and its relationship to later language use. Paper presented at the XX Biennial International Conference on Infant Studies, New Orleans, LA, USA.
Chang, F. (2015). Linking vision and language: From infant cognition to eye-tracking in the visual world. Paper presented at the Kyoto Institute of Technology Seminar on Language Development, Kyoto, Japan.
Fitz, H. & Chang, F. (2015). Prediction in error-based learning explains sentence-level ERP effects. Talk presented at the Architecture and Mechanisms of Language Processing Conference. Valletta, Malta
Chang, F., Choi, Y. and Yeonjung, K. (2015). Why loose rings can be tight: The role of learned object knowledge in the development of Korean spatial fit terms. Cognition, 136, 196-203
Peter, M., Chang, F., Pine, J., Blything, R. and Rowland, C. (2015). When and how do children develop knowledge of verb argument structure? Evidence from verb bias effects in a structural priming task. Journal of Memory and Language, 81, 1-15.
Chang, F. & Jessop, A. (2015). A cross-linguistic model of production and comprehension in visual worlds. Talk presented at the CUNY Sentence Processing Conference, Los Angeles, USA