《中阿含經》與《增壹阿含經》之文本翻譯風格量化分析與相似斷詞自動化擷取

董惠珠

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《中阿含經》與《增壹阿含經》之文本翻譯風格量化分析與相似斷詞自動化擷取

Quantitative Analysis of Translation Styles and Automatic Similar Phrases Identification of the Madhyama-āgama and the Ekottarika-āgama

董惠珠 , Masters　　Advisor：洪振洲　　

繁體中文

中阿含經；增壹阿含經；翻譯風格；量化分析；可變長度n-gram ；主成分分析法；最長共同子序列； Madhyama-ā ； gama ； Ekottarika-ā ； gama ； translation style ； quantitative analysis ； variable length n-gram ； principal components analysis ； longest common subsequence

Abstract │ Reference (67) │ Altmetrics

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In the Taishō Tripiṭaka, the translators of the Madhyama-āgama (T 26) and the Ekottarika-āgama (T 125) are both attributed to the same person, Gautama Saṅghadeva. So far, no one doubts the translator of the Madhyama-āgama is Gautama Saṅghadeva but there are different opinions among scholars concerning the translator of the Ekottarika-āgama. This study attempts to analyze the translation style of the Madhyama-āgama and the Ekottarika-āgama by quantitative methods, and discuss whether these two collections are the works of a same translator. The research methods are as follows: (1) the variable length n-gram (VL n-gram) is used to split text of T 26 and T 125 into shorter segments, called gram, (2) the grams that are used in more than an arbitrary threshold documents are adopted as “style features”, and (3) applying the principal components analysis (PCA) to the frequency of the style features of T 26 and T 125, the consistency of the translation style of these two collections is analyzed. The results from the statistical analysis show that the translation styles of these two collections are significantly different. In order to further strengthen the analysis results, we manually check the style features of the two collections to look for different phrase but sharing similar meanings in different collections. After the manual comparison, we find many examples indicating that the differences in translation styles between the two collections are indeed affected by the translator’s choice of word. These results again confirm the fact that the Madhyama-āgama and the Ekottarika-āgama are probably not the works of a same translator. Seeing the drawback of manual comparison which required a huge contribution of man-hours, this study also attempts to provide a solution to automatically identify similar phrases in order to reduce the man-hours and improve the research efficiency. We use the longest common subsequence (LCS) as a measurement for the degree of similarity between two phrases. The experimental results show that although the effect of LCS is not as significant, yet it is still a useful method to compare large data of phrases and some computational findings may suggest clues that intrigue further scholastic research.

Reference ( 67 ) 〈TOP〉

洪振洲（2016）。〈由資料庫到數位研究平台―談佛典文獻數位研究工具之發展與演變〉。《漢學研究通訊》。35卷1期 (2016 / 02 / 01)。頁1-14。
連結：
郭捷立（2012）。《利用分類演算法來判別早期漢譯佛典之朝代—以東漢、三國、西晉為對象》。法鼓佛教學院碩士論文。台北：法鼓佛教學院。
連結：
謝承恩（2012）。《以量化分析方法進行漢譯佛典譯者風格研究》。法鼓佛教學院碩士論文。台北：法鼓佛教學院。
連結：
Anālayo, Bhikkhu. 2006. “The Ekottarika-āgama Parallel to the Saccavibhaṅga-sutta and the Four (Noble) Truths”, Buddhist Studies Review 23, no. 2, pp. 145-153.
連結：
Bozkurt, I.N., Bağhoğlu, O. & Uyar, E. 2007. “Authorship Attribution: Performance of Various Features and Classification Methods”. Proceedings of the 22nd International Symposium on Computer and Information Sciences. 2007. doi:10.1109/ISCIS.2007.4456854
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