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761.
This study investigates how neural networks address the properties of children's linguistic knowledge, with a focus on the Agent-First strategy in comprehension of an active transitive construction in Korean. We develop various neural-network models and measure their classification performance on the test stimuli used in a behavioural experiment involving scrambling and omission of sentential components at varying degrees. Results show that, despite some compatibility of these models’ performance with the children's response patterns, their performance does not fully approximate the children's utilisation of this strategy, demonstrating by-model and by-condition asymmetries. This study's findings suggest that neural networks can utilise information about formal co-occurrences to access the intended message to a certain degree, but the outcome of this process may be substantially different from how a child (as a developing processor) engages in comprehension. This implies some limits of neural networks on revealing the developmental trajectories of child language.
Research Highlights
- This study investigates how neural networks address properties of child language.
- We focus on the Agent-First strategy in comprehension of Korean active transitive.
- Results show by-model/condition asymmetries against children's response patterns.
- This implies some limits of neural networks on revealing properties of child language.
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Theresa L. Hillenbrand‐Gunn Mary J. Heppner Pamela A. Mauch Hyun‐Joo Park 《Journal of counseling and development : JCD》2010,88(1):43-51
This study investigated the effects of a Men as Allies‐based intervention on high school students' rape‐supportive attitudes and behaviors. As hypothesized at posttest, the male and female experimental groups demonstrated a significant decrease in rape‐supportive attitudes, which was maintained at follow‐up. Male participants viewed peers' attitudes toward sexual violence as significantly different (worse) from peers' pretest self‐ratings; after intervention, male and female experimental group participants' peer ratings were significantly more accurate. 相似文献
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AbstractIn this work, we describe a method for estimating the muscle activity without drawing any assumptions regarding optimality principles in human motor control strategies; further, the method does not require any neural circuitry modeling which limits the neurophysiological terms and estimability of the method. We introduce the concept of system observability, which can reconstruct states from outputs and their derivatives based on system dynamics. Based on neuromuscular system observability, we estimate the muscle activity from joint torques and kinematics of multiple locomotive gaits, while considering the unknown neural inputs as system disturbances. Moreover, to quantify the robustness of the method, the degree of observability and parameter sensitivity are evaluated. Finally, the neurophysiological implications and generality of the method are addressed. 相似文献
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本研究采用背景突显与情绪、股价估值匹配的测试方法,比较大盘不同指数背景的乐观程度和估值的差异.研究发现高突显(正向)伴随高乐观,同时具有正高估,高突显(负向)伴随悲观情绪,同时具有负高估;即刻情绪波动大的估值波幅也大,换手率也高. 相似文献