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CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code

Research article (Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022) · cited 33× · AI/ML
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CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code

Summary

CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code is a scholarly article[1].

Key Facts

  • CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code'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). CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code. Retrieved May 24, 2026, from https://4ort.xyz/entity/crystalbleu-precisely-and-efficiently-measuring-the-similarity-of-code
MLA “CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/crystalbleu-precisely-and-efficiently-measuring-the-similarity-of-code.
BibTeX @misc{4ortxyz_crystalbleu-precisely-and-efficiently-measuring-the-similarity-of-code_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code}}, year = {2026}, url = {https://4ort.xyz/entity/crystalbleu-precisely-and-efficiently-measuring-the-similarity-of-code}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code — https://4ort.xyz/entity/crystalbleu-precisely-and-efficiently-measuring-the-similarity-of-code (retrieved 2026-05-24)

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