Computer-Assisted Crowd Transcription of the U.S. Census with Personalized Assignments for Better Accuracy and Participation
Autor: | Douglas J. Kennard |
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Rok vydání: | 2018 |
Předmět: |
Information retrieval
Computer science 02 engineering and technology Census Digital library 01 natural sciences 010309 optics Open data ComputingMethodologies_PATTERNRECOGNITION Handwriting recognition 0103 physical sciences ComputingMethodologies_DOCUMENTANDTEXTPROCESSING 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Transcription (software) |
Zdroj: | JCDL |
DOI: | 10.1145/3197026.3197067 |
Popis: | Our Open Genealogy Data census transcription project is intended to make valuable census data more readily available to researchers, digital libraries, and others. We use automatic handwriting recognition to bootstrap our census database, facilitating searches even in the early stages of the project while manual transcription is underway. We provide a web-based interface for crowd-sourced transcription of the census to complete and correct the database. In an effort to improve both volunteer participation and transcription accuracy, we provide default transcription assignments based on transcribers' own genealogical family lines or geographical locations to improve the likelihood that the transcribers will be familiar with the names and places in their assignments. |
Databáze: | OpenAIRE |
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