Attitude is omnipresent in almost every type of text. There has yet to be any
relevant research on attitudinal shifts in self-translation. The Chinese
version of Between Tears and Laughter is a rare case of self-translation and
co-translation in that the first 11 chapters are self-translated by Lin Yutang,
and the last 12 chapters by Xu Chengbin. The current study conducted a word
frequency analysis of this book's English and Chinese versions with LIWC and
AntConc, and made comparative research into Lin Yutang's attitudinal changes.
The results show that due to different writing purposes and readerships, there
is less anger in Lin's self-translation (M=0.7755, SD=0.2775) than in the first
11 chapters of the English original (M=1.1036, SD=0.3861), which is a
significant difference (t=2.2892, p=0.0331). This attitudinal change is also
reflected in the translations of some n-grams containing anger words. In
contrast, there is no significant difference (t=1.88, p=0.07) between Xu's
co-translation and the corresponding part of the original in attitude "anger".
This paper believes that corpus tools can help co-translators keep their
translation consistent in attitude.

通过使用 LIWC 和 AntConc 进行词频分析和比较研究，本研究发现由于写作目的和读者群体的不同，林语堂在自我翻译的版本中的表达更少地带有愤怒情绪，相比之下中国原版中的前 11 章的英文原版有着显著的愤怒情绪，并认为与语料库工具的使用能使合作翻译维持内容一致性及态度一致性.