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Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Investigating Learned Representations [article]

Jesse A. Livezey, Ahyeon Hwang, Jacob Yeung, Kristofer E. Bouchard
2021 arXiv   pre-print
To address this gap, we developed a new benchmark dataset with known hierarchical and compositional structure.  ...  Determining when a deep network's hidden activations represent hierarchy and compositionality is important both for understanding deep representation learning and for applying deep networks in domains  ...  Acknowledgments and Disclosure of Funding JAL, AH, and KEB were supported by the Deep Learning for Science Laboratory Directed Research and Development.  ... 
arXiv:1905.13308v2 fatcat:tfoqcr3p25hsriqx7u2oa4pzna

Effects of Implicit and Explicit Focus on Form on L2 Acquisition of the English Passive

Ji-Yung Jung
2019
Second, the difference appeared to be more salient for meaning and function, whereas both types of instruction had [...]  ...  Learning a second language (L2) is essential in today's globalized world. However, learners generally have low sensitivity to grammar, as L2 acquisition proceeds largely through functions.  ...  The dimension of L1 markedness is conceived of as a composite of two sub-variables, frequency and variability (Panel a in Figure 4 ).  ... 
doi:10.7916/d8-ek22-ka98 fatcat:p467fed7hjgldbynfcd65uouyq

Central Asian and Yanbian Korean in comparative perspective

Simon George Barnes-Sadler
2016
affected by the data gathering procedures and representation in Hangul transcription.  ...  is consistent in terms of the amount of data and its precise composition.  ... 
doi:10.25501/soas.00026672 fatcat:fqtpwyzj7nftfhuxvvn6cxviyi