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- W4281489438 abstract "This contribution describes the workflow used to transcribe Manuscripts from the Ethiopian and Eritrean Tradition. The goal of the workflow is to obtain a TEI file with an initial text transcription that profits from a wealth of machine-generated information collected through community-based contributions. The author sets the framework of interest of this effort to discuss available state-of-the-art options and the actual workflow implemented. It is argued that a workflow that prefers expert post-processing in the TEI instead of refinement of the preprocessing techniques is preferable for this specific use case. The publication of large quantities of text although, not 100% correct, when done in a collaboratively edited and open environment, can still be used and provide a user with information reusable for research." @default.
- W4281489438 created "2022-05-26" @default.
- W4281489438 creator A5071355584 @default.
- W4281489438 date "2022-02-02" @default.
- W4281489438 modified "2023-09-25" @default.
- W4281489438 title "Handwritten Text Recognition Best Practice in the Beta maṣāḥǝft workflow" @default.
- W4281489438 doi "https://doi.org/10.4000/jtei.4109" @default.
- W4281489438 hasPublicationYear "2022" @default.
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