2026-10-14T20:35:43Z https://www.scidb.cn/oai

10.57760/sciencedb.39166 2026-06-08T14:43:31Z

2026-06-08 Parallel Corpus and Information Restructuring Rate Analysis Data for Six English Translations of the Analects (Including Public Domain Translations and Fair Use Samples of Copyrighted Translations) doi:10.57760/sciencedb.39166 en This dataset supports the research of the paper "The Information Entropy Perspective of Translator Behavior: Translation Orientation and the Continuum of" Truth seeking Pragmatism "in the English Translation of the Analects". The data includes sentence level parallel corpora and related analysis results of six English translations of the Analects. The six translations are divided into two groups: L1 English native translators (Legge 1893, Waley 1938, Slingerland 2003) and L2 Chinese native translators (Gu Hongming 1898, Liu Dianjue 1979, Ames&Rosemont 2009). There are a total of 2400 sentence pairs (400 sentences per translator), with approximately 16000 words in the Chinese source language. The provision method of this dataset: The official translations (Legge 1893, Waley 1938, Gu Hongming 1898) and copyrighted translations (Slingerland 2003, Liu Dianjue 1979, Ames&Rosemont 2009) only provide examples of the first 10 sentences of the translation (in compliance with the fair use provisions of Article 24 of the Copyright Law); Partial sentence level information reconstruction rate (IRR), entropy values (1-gram to 4-gram), linear mixed effects model input data, and other statistical analysis intermediate results are fully provided; Complete Python analysis code (able to reproduce the generation of all statistical results and charts in the paper). If users need to use the complete content of copyrighted translations for commercial or large-scale academic research, they should apply for authorization from relevant publishers (such as Hackett Publishing, Penguin Classics, Ballantine Books) on their own.  Analects; translation directionality; information entropy; Information Restructuring Rate; parallel corpus; translator behavior; linear mixed-effects model Wang Kesong PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank