Namsel: An Optical Character Recognition System for Tibetan Text
نام عام مواد
[Article]
نام نخستين پديدآور
Rowinski, Zach; Keutzer, Kurt
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
The use of advanced computational methods for the analysis of large corpora of electronic texts is becoming increasingly popular in humanities and social science research. Unfortunately, Tibetan Studies has lacked such a repository of electronic, searchable texts. The automated recognition of printed texts, known as Optical Character Recognition (OCR), offers a solution to this problem; however, until recently, robust OCR systems for the Tibetan language have not been available. In this paper, we introduce one new system, called Namsel, which uses Optical Character Recognition (OCR) to support the production, review, and distribution of searchable Tibetan texts at a large scale. Namsel tackles a number of challenges unique to the recognition of complex scripts such as Tibean uchen and has been able to achieve high accuracy rates on a wide range of machine-printed works. In this paper, we discuss the details of Tibetan OCR, how Namsel works, and the problems it is able to solve. We also discuss the collaborative work between Namsel and its partner libraries aimed at building a comprehensive database of historical and modern Tibetan works-a database that consists of more than one million pages of texts spanning over a thousand years of literary production.
مجموعه
تاريخ نشر
2016
عنوان
Himalayan Linguistics
شماره جلد
15/1
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )