[PS-1.17] Statistical and prosodic cues in segmentation of continuous speech-like acoustic signals

Ordin, M. 1, 2 , Polyanskaya, L. 1, 3 , Laka, I. 4 & Nespor, M. 5

1 BCBL, Spain
2 IKERBASQUE - Basque Foundation for Science
3 Università degli Studi di Padova, Italia
4 University of the Basque Country UPV/EHU, Spain
5 SISSA, Italy

This presentation includes no new data, it is a compilation that puts together and links all the project results, different pieces of these results are presented in three papers:
1) Ordin, M. & Nespor, M. (2013). Transition probabilities and different levels of prominence in segmentation. Language Learning 63(4), 800-834.
2) Ordin, M., & Nespor, M. (2016). Native Language Influence in the Segmentation of a Novel Language. Language Learning and Development 12 (4), 461-481.
3) Ordin, M., Polyanskaya, L., Laka, I., & Nespor, M. (In Press). Cross-linguistic differences in the use of durational cues for the segmentation of a novel language. Memory and Cognition.
We will summarize the results reported in these papers and, based on these results, we are going to propose a refined content-frame mechanism for the segmentation of a novel language, based on statistical learning, extraction of prosodic regularities, and predictive abilities allowing processes at different timescales - referring to different levels of language hierarchy - to be modulated by processes at the level above and at the level below.