Uyghur Language

On the Brahmi Glosses of the Uygur Sitatapatra Text

 July 5, 2023 0 84

On the Brahmi Glosses of the Uygur Sitatapatra Text
Author(s): Tibor Porcio
Source: Central Asiatic Journal , 2003, Vol. 47, No. 1 (2003), pp. 91-109 Published by: Harrassowitz Verlag
As Gabain (1964) established, the Brahm? script was conveyed to the Uygurs by the Tokharians who lived in the North-Western part of Tur- kestan. This is supported by the fact that the Uygurs adopted the new signs which had been introduced by the Tokharians and to which they added a few more for their own purposes. This event must have taken place in the eighth or ninth, but definitely not later than the tenth century A.D. Continue reading “On the Brahmi Glosses of the Uygur Sitatapatra Text” →

An Historical Survey of Modern Uighur Writing since the 1950s in Xinjiang, China

 June 14, 2022 3 398
UYGUR RESEARCH LIBRARY

An Historical Survey of Modern Uighur Writing since the 1950s in Xinjiang, China
Author: Cuiyi Wei
Source: Central Asiatic Journal , 1993, Vol. 37, No. 3/4 (1993), pp. 249-322
Published by: Harrassowitz Verlag
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Studies on the Inner Asian Languages

 June 14, 2022 3 274
UYGUR RESEARCH LIBRARY

Reviewed Work: Studies on the Inner Asian Languages (Nairiku Ajia gengo no kenkyu) I/1983-XXI/2006. Volumes I/1983-VI/1990 = Annals of Foreign Studies XIV, XVII-XIX, XXI, XXIII. (Kobe-shi gaikokugo daigaku gaikokugaku kenkyu); Volumes VII/1992. Volumes VIII/1993-XXI/2006
Review by: Volker Rybatzki
Central Asiatic Journal
Vol. 54, No. 1 (2010), pp. 135-142 (8 pages)
Published by: Harrassowitz Verlag
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Ancient Texts and Languages of Ethnic Groups along the Silk Road

 June 13, 2022 8 431
Ancient Texts and Languages of Ethnic Groups along the Silk Road

Ancient Texts and Languages of Ethnic Groups along the Silk Road
Johannes Reckel and Merle Schatz (Eds.)
Author: Saifulla Abdullaev, Nazgul Abdyrakmatova, Erkin Awghaly …
Published: Universitätsdrucke Göttingen, 2021
This work is protected by German Intellectual Property Right Law. It is also available as an Open Access version through the publisher’s homepage and the Göttingen University Catalogue (GUK) at the Göttingen State and University Library Continue reading “Ancient Texts and Languages of Ethnic Groups along the Silk Road” →

Web development considerations for unicode-based text processing in Uyghur language

 June 13, 2022 4 208
UYGUR RESEARCH LIBRARY

Web development considerations for unicode-based text processing in Uyghur language
Authors: Saleh, I., Janbaz, W. A. (2006, November)
In The 30th Internationalization and Unicode Conference, November 15-17, 2006, Washington, DC USA.
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Perspectives on the Uyghur Internet

 June 12, 2022 3 226
UYGUR RESEARCH LIBRARY

Invitation to a Mourning Ceremony: Perspectives on the Uyghur Internet
Author: Rachel Harris, Aziz Isa
Source: Inner Asia , 2011, Vol. 13, No. 1, Special Issue: Xinjiang And Southwest China (2011), Pp. 27-49
Published by: Brill
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A Fast Uyghur Text Detector for Complex Background Images

 June 11, 2022 2 165
A Fast Uyghur Text Detector for Complex Background Images

Author: Chenggang Yan, Hongtao Xie …
Published: IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 20, NO. 12, DECEMBER 2018 3389
Abstract: Uyghur text localization in images with complex backgrounds is a challenging yet important task for many applications. Generally, Uyghur characters in images consist of strokes with uniform features, and they are distinct from backgrounds in color, intensity, and texture. Based on these differences, we propose a FASTroke keypoint extractor, which is fast and stroke-specific. Compared with the commonly used MSER detector, FASTroke produces less than twice the amount of components and recognizes at least 10% more characters. While the characters in a line usually have uniform features such as size, color, and stroke width, a component similarity based clustering is presented without component-level classification. It incurs no extra errors by incorporating a component-level classifier while the computing cost is drastically reduced. The experiments show that the proposed method can achieve the best performance on the UICBI-500 benchmark dataset.
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