Training \& Quality Assessment of an Optical Character Recognition Model for Northern Haida

LREC 2016 Isabell HubertAntti ArppeJordan LachlerEddie Antonio Santos

We are presenting our work on the creation of the first optical character recognition (OCR) model for Northern Haida, also known as Masset or Xaad Kil, a nearly extinct First Nations language spoken in the Haida Gwaii archipelago in British Columbia, Canada. We are addressing the challenges of training an OCR model for a language with an extensive, non-standard Latin character set as follows: (1) We have compared various training approaches and present the results of practical analyses to maximize recognition accuracy and minimize manual labor... (read more)

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