Human-assisted OCR of Japanese books with different kinds of microtasks
Kosetsu Ikeda, Ryota HAYASHI, Kiyonori Nagasaki, Atsuyuki Morishima · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) · 2017
Human-assisted OCR is a common approach for transcribing books and has been used for many digital library projects. This paper reports our project for transcribing the book collections of National Diet Library in this approach. Our project is unique in two ways. First, we try to extend the human-assisted OCR approach by distributing microtasks in many ways other than just showing tasks in the specific Web page on PC screens. Second, we deal with Japanese books which have thousands of characters, some of which look similar to each other. This paper shows that we can expect high-quality results even if we transcribe Japanese texts with microtasks and the number of preformed microtasks to be stable if we distribute microtasks to equipment with witch worker perform microtasks in their daily lives.