A visual Representation of Wittgenstein’s Tractatus Logico-Philosophicus, including the Chinese, Korean and Japanese Translation

In this paper, we added Chinese, Japanese and Korean translations of Wittgenstein’s Tractatus Logico-Philosophicus to the Tractatus Network which was created by Anca Bucur and Sergiu Nisioi in 2016. We have also analyzed datasets by that network visualization, comparative listing of proposition distances, and calculating mean squared deviation and mean difference. Through this, we have found that for some proposition pairs, there are large difference among translations. Furthermore, in the process of analyzing the Korean translations, it was observed that the settings of stopwords significantly influence the analysis. The methodology for optimizing stopwords for this analysis was established, which also enabled us to investigate the characteristics of the translations more deeply.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.23919/pnc63053.2024.10697369
Citations
1
Primary Topic
Translation Studies and Practices
Type
article
Field-Weighted Citation Impact
2.78
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article

A visual Representation of Wittgenstein’s Tractatus Logico-Philosophicus, including the Chinese, Korean and Japanese Translation

Akihiro Kameda, Naoki Kokaze, Inoue Satsuki, Sana Ishii
1 citations
Translation Studies and Practices
2.78
article

A visual Representation of Wittgenstein’s Tractatus Logico-Philosophicus, including the Chinese, Korean and Japanese Translation

Akihiro Kameda, Naoki Kokaze, Inoue Satsuki, Sana Ishii
article en
1 citations

Abstract

In this paper, we added Chinese, Japanese and Korean translations of Wittgenstein’s Tractatus Logico-Philosophicus to the Tractatus Network which was created by Anca Bucur and Sergiu Nisioi in 2016. We have also analyzed datasets by that network visualization, comparative listing of proposition distances, and calculating mean squared deviation and mean difference. Through this, we have found that for some proposition pairs, there are large difference among translations. Furthermore, in the process of analyzing the Korean translations, it was observed that the settings of stopwords significantly influence the analysis. The methodology for optimizing stopwords for this analysis was established, which also enabled us to investigate the characteristics of the translations more deeply.

Tokyo University of Foreign Studies (JP), Chiba University (JP)
Openalex Percentile: Top 9%
Translation Studies and Practices
2.78
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