Cultural and Linguistic Influences on Translation: A Study of Novels
summary
The study measures concrete differences: average sentiment differs by 0.05 average sentiment difference between Spanish and English and Spanish shows greater polarity; Chinese is excluded because SnowNLP and CN sentiment disagree wildly (example polarity 0.55 vs 0.8). Language redundancy uses gzip LZ77 compression to get compression ratios showing Spanish/French more redundant than English, English more than Chinese. Summarization is evaluated with ROUGE F1 where Claude wins on English/French and Gemini peaks on some Spanish chapters. Topic work uses BERTopic with UMAP+HDBSCAN and finds non‑one‑to‑one topic mappings.
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chapters (13)
- 0:00Cultural and linguistic influences
- 1:10Untranslatable words impact
- 2:15Novels for sentiment analysis
- 3:40Cultural factors in sentiment
- 5:49Challenges in Chinese translations
- 7:15Language redundancy in novels
- 10:32AI summarization accuracy
- 14:56Analysis methods
- 18:09BERTopic for literary texts
- 21:43Thematic clusters comparison
- 24:17Conclusion and future directions
- 25:19Cross-lingual analysis resources
- 26:03Q&A
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