Tikkoun Sofrim:一个用于众包转录的个性化和适应性的web应用程序

Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-06 DOI:10.1145/3314183.3324972

A. Wecker, Uri Schor, Dror Elovits, D. Ezra, T. Kuflik, Moshe Lavee, Vered Raziel-Kretzmer, Avigail Ohali, Lily Signoret

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引用次数: 9

摘要

本文简要介绍了抖音众包webApp的几个方面。Tikkoun Sofrim是一个网络应用程序，允许用户纠正由人工智能神经网络引擎完成的自动转录(AT)。我们着眼于使用数字人文文献自动转录的众包现象的背景。简要介绍了系统结构。然后，我们在用户/应用程序生命周期的不同阶段检查个性化和适应方面。最后，我们简要列出了未来的挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Tikkoun Sofrim: A WebApp for Personalization and Adaptation of Crowdsourcing Transcriptions

This paper briefly describes aspects of the Tikkoun Sofrim crowdsourcing webApp. Tikkoun Sofrim is a webApp which allows users to correct automatic transcriptions (AT) done by an AI Neural network engine. We look at the background of the crowdsourcing phenomenon in the use of automatic transcription of digital humanities documents. System structure is briefly described. We then examine personalization and adaption aspects at different stages of the user/application lifecycle Finally, we briefly list future challenges.

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Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization

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