In this paper, we present OTTO, a web-based transcription tool which is designed for diplomatic transcription of historical language data. The tool supports fast and accurate typing, by use of userdefined special characters, and, simultaneously, providing a view on the manuscript that is as close to the original as possible. It also allows for the annotation of rich, user-defined header informa...

iranian historiography during the safavid era affected by religious upheavals and intellectual and political developments, witnessed the emergence and evolution of a new approach towards time and techniques for recording history. the most important feature of this historiography was the continuance of pre-safavid models and regulations on the one hand, and the formation of typical safavid struc...

This paper presents an approach for automatically retrieving family relationships from a real-world collection of Dutch historical notary acts. We aim to retrieve relationships like husband wife, parent child, widow of, etc. Our approach includes person names extraction, reference disambiguation, candidate generation and family relationship prediction. Since we have a limited amount of training...

in the past, residents of arabic island were divided into ghahtanis or hemieris in south and adnanis in north. these two were great nations that left several texts from their own language that there is no doubt about the authenticity of them. by scientific analysis of these texts, historical and literary results can be drawn. the ancient linguists believed that ghahtani's language is diffe...

al-shab al-zarif, one of the most well-known poets of decadence age, is also a foremost borrower of religious texts in the field of worldly lyric. his lyrics are influence by quran, various religious texts, and notions of his sufi father, afif al-din telmesani. this study tries to examine the works of this prominent poet and analyze their intersexual relations to show his power in mixing religi...

This paper presents experiments on Optical character recognition (OCR) as a combination of Ocropy software and data-driven spelling correction that uses Weighted Finite-State Methods. Both model training and testing were done on Finnish corpora of historical newspaper text and the best combination of OCR and post-processing models give 95.21% character recognition accuracy.

This paper describes an approach for storing and querying a large corpus of linguistically annotated historical texts in a relational database management system. Texts in such a corpus have a complex structure consisting of multiple text layers that are richly annotated and aligned to each other. Modeling and managing such corpora poses various challenges not present in simpler text collections...

The paper will describe how web-based collaboration tools can engage users in the building of historical printed text resources created by mass digitisation projects. The drivers for developing such tools will be presented, identifying the benefits that can be derived for both the user community and cultural heritage institutions. The perceived risks, such as new errors introduced by the users,...