Suphan Kirmizialtin- Doctor of Philosophy
- Visiting Assistant Professor at New York University Abu Dhabi
Suphan Kirmizialtin
- Doctor of Philosophy
- Visiting Assistant Professor at New York University Abu Dhabi
Text-recognition&analysis of historical documents;
Automated transcription&crowdsourced transcription of Ottoman Turkish
About
11
Publications
974
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Introduction
Suphan Kirmizialtin received her Ph.D. in history from the University of Texas, Austin. She is a visiting Ass. Prof. at New York University, Abu Dhabi. Her current research involves deep learning methods for the automated transcription and analysis of historical documents as well as crowdsourced transcription of Ottoman Turkish.
Visit her most recent work at digitalottomancorpora.org
Current institution
Education
August 2007 - May 2020
Publications
Publications (11)
This dissertation offers a case study on the intersection of gender and modernization in the Middle East within the context of the 19th century Ottoman modernization project. It analyzes the position of Muslim/Turkish women in the Ottoman Empire between the years of 1870 and 1922 through a prosopographic study of the first professional women in Tur...
![Figure 2 Key terms ("nakhuda" [upper left], "powers" [upper right],...](publication/387557688/figure/fig2/AS:11431281300699695@1735647290833/Key-terms-nakhuda-upper-left-powers-upper-right-weapons-center-right_Q320.jpg)
In this article we analyze a corpus related to manumission and slavery in the Arabian Gulf in the late nineteenth- and early twentieth-century that we created using Handwritten Text Recognition ( HTR ). The corpus comes from India Office Records ( IOR ) R/15/1/199 File 5 . Spanning the period from the 1890s to the early 1940s and composed of 977K w...
This case study explores the collaboration between the Archives and Special Collections (ASC) at New York University Abu Dhabi (NYUAD) and the undergraduate Digital Humanities course, "The Digital Archive." Co-authored by NYUAD librarian Lauren Kata and professor Suphan Kirmizialtin, it examines the alignment of primary source literacy with the cou...
Text recognition technologies increase access to global archives and make possible their computational study using techniques such as Named Entity Recognition (NER). In this paper, we present an approach to extracting a variety of named entities (NE) in unstructured historical datasets from open digital collections dealing with a space of informal...
A pre-print of our paper can be found at
https://arxiv.org/abs/2011.01139
Our study utilizes deep learning methods for the automated transcription of late nineteenth- and early twentieth-century periodicals written in Arabic script Ottoman Turkish (OT) using the Transkribus platform. We discuss the historical situation of OT text collections and...
Our study utilizes deep learning methods for the automated transcription of late nineteenth- and early twentieth-century periodicals written in Arabic script Ottoman Turkish (OT) using the Transkribus platform. We discuss the historical situation of OT text collections and how they were excluded for the most part from the late twentieth century cor...
This article surveys the Islamization of South-eastern Europe under the Ottoman rule. In Balkan history writing the question of conversion to Islam was, and still is, a highly charged political issue. It is intrinsically linked to the issues of formation of national identities and rival territorial claims of the Balkan states. The nationalist disco...
