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        <title>Combining Human and Machine Transcriptions on the Zooniverse Platform</title>
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            <title>Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text</title>
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            <namePart type="given">Wei</namePart>
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    <abstract>Transcribing handwritten documents to create fully searchable texts is an essential part of the archival process. Traditional text recognition methods, such as optical character recognition (OCR), do not work on handwritten documents due to their frequent noisiness and OCR’s need for individually segmented letters. Crowdsourcing and improved machine models are two modern methods for transcribing handwritten documents.</abstract>
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%0 Conference Proceedings
%T Combining Human and Machine Transcriptions on the Zooniverse Platform
%A Hanson, Daniel
%A Simenstad, Andrea
%Y Xu, Wei
%Y Ritter, Alan
%Y Baldwin, Tim
%Y Rahimi, Afshin
%S Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F hanson-simenstad-2018-combining
%X Transcribing handwritten documents to create fully searchable texts is an essential part of the archival process. Traditional text recognition methods, such as optical character recognition (OCR), do not work on handwritten documents due to their frequent noisiness and OCR’s need for individually segmented letters. Crowdsourcing and improved machine models are two modern methods for transcribing handwritten documents.
%R 10.18653/v1/W18-6129
%U https://aclanthology.org/W18-6129
%U https://doi.org/10.18653/v1/W18-6129
%P 215-216

Markdown (Informal)

[Combining Human and Machine Transcriptions on the Zooniverse Platform](https://aclanthology.org/W18-6129) (Hanson & Simenstad, WNUT 2018)

• Combining Human and Machine Transcriptions on the Zooniverse Platform (Hanson & Simenstad, WNUT 2018)

ACL

• Daniel Hanson and Andrea Simenstad. 2018. Combining Human and Machine Transcriptions on the Zooniverse Platform. In Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text, pages 215–216, Brussels, Belgium. Association for Computational Linguistics.