查詢結果分析
來源資料
相關文獻
- Classification of the Shapes of Chinese Characters: Verification by Different Predesignated Categories and Varied Sample Sizes
- Fractal Image Coding Using Projection-Based Classification and Variable Shape Matching
- A Methodology of Selecting Modular Fixture Elements through Stacking Features
- 合歡山臺灣冷杉土壤之發育與分類
- 高頻掃描聲納對水中目標之聲影像信號處理及辨識技術研究
- 兒童地球形狀概念演化樹之跨年級調查驗證
- 電腦視覺在甲骨文上的應用:甲骨文碎片分類
- 結合形狀特徵之增強型方向梯度直方圖行人偵測
- An Artificial Neural Network-based Classifier Ensemble Approach for On-line Recognition of Concurrent Control Chart Patterns
- 全民健康保險下疾病分類編碼品質與相關影響因素研究
頁籤選單縮合
題名 | Classification of the Shapes of Chinese Characters: Verification by Different Predesignated Categories and Varied Sample Sizes=中文字形分類系統的再確立:類別與字數的控制 |
---|---|
作者 | 葉素玲; 李金鈴; 陳洸民; | 書刊名 | 中華心理學刊 |
卷期 | 41:1 1999.06[民88.06] |
頁次 | 頁65-85 |
分類號 | 176.12 |
關鍵詞 | 中文單字; 分類; 多向度量尺法; 群聚分析; 相似性判斷; 形狀; Chinese character; Classification; Multidimensional scaling; Cluster analysis; Similarity; Shape; |
語文 | 英文(English) |
中文摘要 | 為確認葉素玲、李金鈴、陳一平(1997)就中文單字形狀的相似性判斷分組實驗 所建立之中文字形分類系統,本研究針對該文實驗的兩個可能缺失予以改進。一是字形取樣 的類別,本研究參考 Liu ( 1984 )的 11 類再加一類共選定 12 類字形樣本; 二是在各 類別內選取字數不等的字形,以去除受試者藉由各類別相同且固定的字數而猜出研究者事先 選定的類別的可能性。受試者的作業是將中文字依其形狀的相似性作分組,所得再進行群聚 分析以及多向度量尺法( MDS )的分析。 所得結果與先前的研究結果頗為一致,左右、ㄏ 型、L 型、上下,包型仍是五個主要的群聚, 而由 MDS 所得的三軸可界定為上下╱左右、 開放╱包圍與方╱不方。 |
英文摘要 | To verify the classification system of the shapes of Chinese characters identified by Yeh. Li, and Chen (1997) this study was designed to avoid the two possible shortcomings in the previous study. Twelve predesignated categories of characters adopted from Liu (1984) were selected to cover a larger spectrum of Chinese characters. In addition, the set size in each category was varied to prevent subjects' guessing as might have been caused by the regularity of the constant set size. As with the previous study, the subjects were asked to group Chinese characters according to the degree of similarities in their shapes. Hierachical cluster analysis and nonmetric multidimensional scaling were conducted and the results were consistent with the original report by Yeh et al.. Horizontal, L-shped, ㄏ -shaped, vertical and enclosed characters formed 5 major clusters. Horizontal-vertical, open-enclosed, and square-nonsquare were identified as the 3 axes in the character space. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。