This study investigates the effects of teaching semantic radicals in inferring the meanings of unfamiliar characters among nonnative Chinese speakers. A total of 54 undergraduates majoring in Chinese Language from a university in Hanoi, Vietnam, who had 1 year of learning experience in Chinese were assigned to two experimental groups that received instructional intervention, called "old-for-new" semantic radical teaching, through two counterbalanced sets of semantic radicals, with one control group. All of the students completed pre- and post-tests of a sentence cloze task where they were required to choose an appropriate character that fit the sentence context among four options. The four options shared the same phonetic radicals but had different semantic radicals. The results showed that the pre-test and post-test score increases were significant for the experimental groups, but not for the control group. Most importantly, the experimental groups successfully transferred the semantic radical strategy to figure out the meanings of unfamiliar characters containing semantic radicals that had not been taught. The results demonstrate the effectiveness of teaching semantic radicals for lexical inference in sentence reading for nonnative speakers, and highlight the ability of transfer learning to acquire semantic categories of sub-lexical units (semantic radicals) in Chinese characters among foreign language learners.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660119PMC
http://dx.doi.org/10.3389/fpsyg.2017.01846DOI Listing

Publication Analysis

Top Keywords

semantic radicals
28
teaching semantic
12
experimental groups
12
semantic
9
radicals
8
sentence reading
8
reading nonnative
8
nonnative chinese
8
chinese speakers
8
meanings unfamiliar
8

Similar Publications

Background: In Chinese phonogram processing studies, it is widely accepted that both character and non-character semantic radicals could be semantically activated. However, little attention was paid to the underlying workings that enabled the semantic radicals' semantic activation.

Purpose: The present study aimed to address the above issue by conducting two experiments.

View Article and Find Full Text PDF
Article Synopsis
  • Developmental dyslexic (DD) children face difficulties with sublexical orthographic, phonological, and semantic processing, affecting their ability to recognize words visually.
  • A study involving 50 DD and 47 typically developing (TD) third graders assessed their responses to different types of pseudo characters related to semantic and phonetic factors.
  • Results indicated that DD children rely more on phonetic processing compared to TD children, suggesting that sublexical phonological processing plays a significant role in how DD children recognize words.
View Article and Find Full Text PDF

LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation.

Med Image Anal

January 2025

School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei Anhui, 230026, P.R. China; Center for Medical Imaging, Robotics, Analytic Computing & Learning(MIRACLE), Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu, 215123, P.R. China; Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China, Hefei Anhui, 230026, P.R. China; Key Lab of Intelligent Information Processing of Chinese Academy of Sciences(CAS), Institute of Computing Technology, CAS, Beijing, 100190, P.R. China. Electronic address:

Article Synopsis
  • - The text discusses a new method for surgical instrument segmentation called the LACOSTE model, which addresses limitations in current techniques by considering both temporal motion and stereo attributes in surgical videos.
  • - LACOSTE includes three key enhancements: a disparity-guided feature propagation module for depth awareness, a stereo-temporal set classifier for improved prediction accuracy, and a location-agnostic classifier to reduce location bias in mask predictions.
  • - The effectiveness of this model is validated through extensive testing on three public surgical video datasets, with results showing it performs comparably or better than existing top methods in the field.
View Article and Find Full Text PDF

The effect of lexical semantic activation on reasoning about evolution: A cross-linguistic study.

Q J Exp Psychol (Hove)

December 2024

Peabody College, Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, USA.

We hypothesised that people of different language backgrounds (English vs. Mandarin Chinese) might think about evolutionary relationships among living things differently. In particular, some reasoning heuristics may come from how living things are named.

View Article and Find Full Text PDF

Purpose: Semantic segmentation is a fundamental part of the surgical application of deep learning. Traditionally, segmentation in vision tasks has been performed using convolutional neural networks (CNNs), but the transformer architecture has recently been introduced and widely investigated. We aimed to investigate the performance of deep learning models in segmentation in robot-assisted radical prostatectomy (RARP) and identify which of the architectures is superior for segmentation in robotic surgery.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!