<p>Reasons for Harman’s translator’s style.</p>

A 398,531-word bilingual corpus supports a mixed-methods study of translator Nicky Harman's style in English translations of two Chinese children's novels. The dataset, created by He He and last updated in June 2026, includes parallel and comparable texts for quantitative and qualitative analysis. It focuses on lexical, syntactic, and textual choices in the translations of 'I Want to Be Good' (2020) and 'Flight of the Bumblebee' (2023).

Use Cases

• Analyzing lexical patterns and keyword usage based on the corpus's quantitative metrics.
• Studying syntactic choices like the use of contracted forms mentioned in the description.
• Investigating strategies for translating Chinese idioms based on the described balance of domestication and foreignization.
• Examining multimodal interaction and para-texts for their role in translator style for young readers.

Strengths

• Corpus totals 398,531 words, enabling substantial quantitative analysis.
• Applies a mixed-methods approach integrating quantitative metrics with qualitative close reading.
• Explicitly licensed under CC-BY-4.0 for open reuse.

Limitations

• Dataset is very small at 5.5 KB, indicating limited raw data scope.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Data may reflect the specific bias inherent to the two selected novels and their translator.

Provenance

Source

He He, via figshare.

Collection Method

Self-built bilingual corpus (parallel and comparable) from two translated novels.

Time Range

Covers source novels from 1996 and 2018, and their translations from 2020 and 2023.

Freshness

Last updated 2026-06-02 17:38:59; freshness should be verified.