This work was funded by a Doctoral Dissertation Research Improvement Grant from the National Science Foundation (BCS-1451677). For more information on the construction of the artificial language, see:
- Wiener, S. (2015). *The representation, organization and access of lexical tone by native
and non-native Mandarin speakers*. (Unpublished doctoral dissertation). The Ohio
State University, Columbus, OH.
The following publications made use of the artificial language:
- Wiener, S., Ito, K., & Speer, S. R. (2016). Individual variability in the distributional
learning of L2 lexical tone. In J. Barnes, A. Brugos, S. Shattuck-Hufnagel, and N. Veilleux (Eds.), *Proceedings of the 8th International Conference on Speech Prosody* (pp. 538–542). Boston, MA.
- Wiener, S., Ito, K., & Speer, S. R. (2018). Early L2 spoken word recognition combines
input-based and knowledge-based processing. *Language and Speech, 61*, 632–656.
- Wiener, S., Chan, M. K. M., & Ito, K. (2020). Do explicit instruction and high variability phonetic training improve non-native speakers’ Mandarin tone productions? *The Modern Language Journal, 104* (1), 152-168.
- Wiener, S., Ito, K., & Speer, S. R. (2021). Effects of multi-talker input and instructional method on the dimension-based statistical learning of syllable-tone combinations: An eye-tracking study. *Studies in Second Language Acquisition, 43*, 155-180.
