Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors

Research article (Proceedings of the 1st Workshop on Natural Language Processing for Programming (NLP4Prog 2021), 2021) · cited 12× · AI/ML
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Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors

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Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors is a scholarly article[1].

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  • Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors. Retrieved May 24, 2026, from https://4ort.xyz/entity/code-to-comment-translation-a-comparative-study-on-model-effectiveness-amp-errors
MLA “Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/code-to-comment-translation-a-comparative-study-on-model-effectiveness-amp-errors.
BibTeX @misc{4ortxyz_code-to-comment-translation-a-comparative-study-on-model-effectiveness-amp-errors_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors}}, year = {2026}, url = {https://4ort.xyz/entity/code-to-comment-translation-a-comparative-study-on-model-effectiveness-amp-errors}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors — https://4ort.xyz/entity/code-to-comment-translation-a-comparative-study-on-model-effectiveness-amp-errors (retrieved 2026-05-24)

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