Historical 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 in particular—pose special challenges. Michael Piotrowski’s book gives an introduction to NLP and deals with such problems for historical texts. Continue reading
