Title: Natural Language Processing for Historical Texts
Description: More and more historical texts are becoming available in digital form. Digitization of paper documents is motivated by the aim of preserving cultural heritage and making it more accessible, both to laypeople and scholars. As digital images cannot be searched for text, digitization projects increasingly strive to create digital text, which can be searched and otherwise automatically processed, in addition to facsimiles. Indeed, the emerging field of digital humanities heavily relies on the availability of digital text for its studies. Together with the increasing availability of historical texts in digital form, there is a growing interest in applying natural language processing (NLP) methods and tools to historical texts. However, the specific linguistic properties of historical texts--the lack of standardized orthography in particular--pose special challenges for NLP.
Subjects: Natural language processing (computer science), History, sources, Historical linguistics, Computational linguistics, History, Sources, Digitization