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Training Full-Page Handwritten Text Recognition Models without Annotated Line Breaks

Research article (2019 International Conference on Document Analysis and Recognition (ICDAR), 2019) · cited 23× · AI/ML
academia openalex:W3003990305
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Training Full-Page Handwritten Text Recognition Models without Annotated Line Breaks

Summary

Training Full-Page Handwritten Text Recognition Models without Annotated Line Breaks is a scholarly article[1].

Key Facts

  • Training Full-Page Handwritten Text Recognition Models without Annotated Line Breaks's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Training Full-Page Handwritten Text Recognition Models without Annotated Line Breaks. Retrieved May 24, 2026, from https://4ort.xyz/entity/training-full-page-handwritten-text-recognition-models-without-annotated-line-breaks
MLA “Training Full-Page Handwritten Text Recognition Models without Annotated Line Breaks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/training-full-page-handwritten-text-recognition-models-without-annotated-line-breaks.
BibTeX @misc{4ortxyz_training-full-page-handwritten-text-recognition-models-without-annotated-line-breaks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Training Full-Page Handwritten Text Recognition Models without Annotated Line Breaks}}, year = {2026}, url = {https://4ort.xyz/entity/training-full-page-handwritten-text-recognition-models-without-annotated-line-breaks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Training Full-Page Handwritten Text Recognition Models without Annotated Line Breaks — https://4ort.xyz/entity/training-full-page-handwritten-text-recognition-models-without-annotated-line-breaks (retrieved 2026-05-24)

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