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Robust stylometric analysis and author attribution based on tones and rimes

Research article (Natural Language Engineering, 2019) · cited 27× · AI/ML
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Summary

Robust stylometric analysis and author attribution based on tones and rimes is a scholarly article[1].

Key Facts

  • Robust stylometric analysis and author attribution based on tones and rimes's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Robust stylometric analysis and author attribution based on tones and rimes. Retrieved October 18, 2026, from https://4ort.xyz/entity/robust-stylometric-analysis-and-author-attribution-based-on-tones-and-rimes
MLA “Robust stylometric analysis and author attribution based on tones and rimes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/robust-stylometric-analysis-and-author-attribution-based-on-tones-and-rimes.
BibTeX @misc{4ortxyz_robust-stylometric-analysis-and-author-attribution-based-on-tones-and-rimes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust stylometric analysis and author attribution based on tones and rimes}}, year = {2026}, url = {https://4ort.xyz/entity/robust-stylometric-analysis-and-author-attribution-based-on-tones-and-rimes}, note = {Accessed: 2026-10-18}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robust stylometric analysis and author attribution based on tones and rimes — https://4ort.xyz/entity/robust-stylometric-analysis-and-author-attribution-based-on-tones-and-rimes (retrieved 2026-10-18)

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