Add to ORKGHistorical texts are more often available in digital form. Digitization should preserve cultural heritage and make documents accessible. Such projects increasingly strive to create digital text—data, that can be searched and processed. Together with the increasing availability of digital historical texts, there is a growing interest in applying natural language processing (NLP) methods and tools to them. Specific linguistic properties of historical texts—the lack of standardized orthography i..
The use of computational approaches in history is not new (Boonstra et al 2004). However, until fair...
Following decades of massive digitization, an unprecedented amount of historical document facsimile...
When NLP is used to support research in the humanities, new methodological issues come into play. NL...
Natural language processing for historical texts, computational linguistics and the digital humaniti...
Thesis (Master's)--University of Washington, 2019The field of digital humanities has spurred an incr...
Historical text constitutes a rich source of information for historians and other researchers in hum...
Experts on NLP tools for working with historical documents met in Berlin in September for a CLARIN w...
Use of primary sources often focuses on identifying and tracking entities (e.g. people, places, orga...
Περιέχει το πλήρες κείμενοThe purpose of this paper is to describe the creation and exploitation of ...
In the digital age the storage and visualisation of old texts should be accompanied by a collection ...
LINGUIST List issue 25.292 features a review of my book Natural Language Processing for Historical T...
This article presents NLP techniques (text mining, text analysis) to create tools for the avaluation...
How can NLP technologies be applied and measured on pre-modern documents? Based on a large handwritt...
Digitalization of ancient manuscripts is becoming a common practice in many archives and libraries, ...
International audienceBook review of Michael Piotrowski's Natural Language Processing for Historical...
The use of computational approaches in history is not new (Boonstra et al 2004). However, until fair...
Following decades of massive digitization, an unprecedented amount of historical document facsimile...
When NLP is used to support research in the humanities, new methodological issues come into play. NL...
Natural language processing for historical texts, computational linguistics and the digital humaniti...
Thesis (Master's)--University of Washington, 2019The field of digital humanities has spurred an incr...
Historical text constitutes a rich source of information for historians and other researchers in hum...
Experts on NLP tools for working with historical documents met in Berlin in September for a CLARIN w...
Use of primary sources often focuses on identifying and tracking entities (e.g. people, places, orga...
Περιέχει το πλήρες κείμενοThe purpose of this paper is to describe the creation and exploitation of ...
In the digital age the storage and visualisation of old texts should be accompanied by a collection ...
LINGUIST List issue 25.292 features a review of my book Natural Language Processing for Historical T...
This article presents NLP techniques (text mining, text analysis) to create tools for the avaluation...
How can NLP technologies be applied and measured on pre-modern documents? Based on a large handwritt...
Digitalization of ancient manuscripts is becoming a common practice in many archives and libraries, ...
International audienceBook review of Michael Piotrowski's Natural Language Processing for Historical...
The use of computational approaches in history is not new (Boonstra et al 2004). However, until fair...
Following decades of massive digitization, an unprecedented amount of historical document facsimile...
When NLP is used to support research in the humanities, new methodological issues come into play. NL...