TY - JOUR A1 - Fuhrmeister, Pamela A1 - Smith, Garrett A1 - Myers, Emily B. T1 - Overlearning of non-native speech sounds does not result in superior consolidation after a period of sleep JF - The journal of the Acoustical Society of America N2 - Recent studies suggest that sleep-mediated consolidation processes help adults learn non-native speech sounds. However, overnight improvement was not seen when participants learned in the morning, perhaps resulting from native-language interference. The current study trained participants to perceive the Hindi dental/retroflex contrast in the morning and tested whether increased training can lead to overnight improvement. Results showed overnight effects regardless of training amount. In contrast to previous studies, participants in this study heard sounds in limited contexts (i.e., one talker and one vowel context), corroborating other findings, suggesting that overnight improvement is seen in non-native phonetic learning when variability is limited. Y1 - 2020 U6 - https://doi.org/10.1121/10.0000943 SN - 0001-4966 SN - 1520-8524 VL - 147 IS - 3 SP - EL289 EP - EL294 PB - American Institute of Physics CY - Melville ER - TY - JOUR A1 - Smith, Garrett A1 - Vasishth, Shravan T1 - A principled approach to feature selection in models of sentence processing JF - Cognitive science : a multidisciplinary journal of anthropology, artificial intelligence, education, linguistics, neuroscience, philosophy, psychology ; journal of the Cognitive Science Society N2 - Among theories of human language comprehension, cue-based memory retrieval has proven to be a useful framework for understanding when and how processing difficulty arises in the resolution of long-distance dependencies. Most previous work in this area has assumed that very general retrieval cues like [+subject] or [+singular] do the work of identifying (and sometimes misidentifying) a retrieval target in order to establish a dependency between words. However, recent work suggests that general, handpicked retrieval cues like these may not be enough to explain illusions of plausibility (Cunnings & Sturt, 2018), which can arise in sentences like The letter next to the porcelain plate shattered. Capturing such retrieval interference effects requires lexically specific features and retrieval cues, but handpicking the features is hard to do in a principled way and greatly increases modeler degrees of freedom. To remedy this, we use well-established word embedding methods for creating distributed lexical feature representations that encode information relevant for retrieval using distributed retrieval cue vectors. We show that the similarity between the feature and cue vectors (a measure of plausibility) predicts total reading times in Cunnings and Sturt's eye-tracking data. The features can easily be plugged into existing parsing models (including cue-based retrieval and self-organized parsing), putting very different models on more equal footing and facilitating future quantitative comparisons. KW - Cue‐based retrieval KW - plausibility KW - word embeddings KW - linguistic KW - features Y1 - 2020 U6 - https://doi.org/10.1111/cogs.12918 SN - 0364-0213 SN - 1551-6709 VL - 44 IS - 12 PB - Wiley CY - Hoboken ER -