new criticism focuses on rigorous analysis of poetry and literature, irrespective of peripheral issues. its fundamental tenet is the autonomy of literary texts. therefore, new criticism shuns dealing with such peripheral issues as authors’ biography, social, political and historical events; since this approach considers all these issues as non-artistic. in principle, the followers of new critic...

As the title of the Dagstuhl Seminar Digital Historical Corpora Architecture, Annotation, and Retrieval already suggests, corpus architecture and corpus annotation is an important topic for representing (historical) texts. Especially the limitation of SGML-based markup languages to tree structured annotations raises a special problems when dealing with manuscripts: How is it possible to represe...

The work on the named entity recognition (NER) in databases of historical texts has been placed among the most promising new ways to implement best recovery and managements tools for exploring mass data. In this paper, we describe the application processing NER through a modelling with CRF on an annotated database of Burgundy collection of charters from the tenth to thirteenth centuries. The ai...

History educators often use popular films in the classroom to teach critical thinking through an exercise that involves identifying historical inaccuracies in the films. We investigated how this exercise affects the acquisition of true and false historical knowledge. In two experiments, subjects studied texts about historical topics and watched clips from corresponding films. Each film containe...

Historical text presents numerous challenges for contemporary natural language processing techniques. In particular, the absence of consistent orthographic conventions in historical text presents difficulties for any system requiring reference to a static lexicon indexed by orthographic form. Canonicalization approaches seek to address these issues by assigning an extant equivalent to each word...

Historical texts are challenging for natural language processing because they differ linguistically from modern texts and because of their lack of orthographical and grammatical standardisation. We use a character-level neural network to build a part-of-speech (POS) tagger that can process historical data directly without requiring a separate spelling normalisation stage. Its performance in a S...

This paper presents OTTO, a transcription tool designed for diplomatic transcription of historical language data. The tool supports easy and fast typing and instant rendering of transcription in order to gain a look as close to the original manuscript as possible. In addition, the tool provides support for the management of transcription projects which involve distributed, collaborative working...

Text reuse is a common way to transfer historical texts. It refers to the repetition of text in a new context and ranges from nearverbatim (literal) and para-phrasal reuse to completely non-literal reuse (e.g., allusions or translations). To improve the detection of reuse in historical texts, we need to better understand its characteristics. In this work, we investigate the relationship between...

This paper presents a novel approach to the task of temporal text classification combining text ranking and probability for the automatic dating of historical texts. The method was applied to three historical corpora: an English, a Portuguese and a Romanian corpus. It obtained performance ranging from 83% to 93% accuracy, using a fully automated approach with very basic features.