Even though NLP tools are widely used for contemporary text today, there is a lack of tools that can handle historical documents. Such tools could greatly facilitate the work of researchers dealing with large volumes of historical texts. In this paper we propose a method for extracting verbs and their complements from historical Swedish text, using NLP tools and dictionaries developed for conte...

This paper presents a method for part-ofspeech tagging of historical data and evaluates it on texts from different corpora of historical German (15th–18th century). Spelling normalization is used to preprocess the texts before applying a POS tagger trained on modern German corpora. Using only 250 manually normalized tokens as training data, the tagging accuracy of a manuscript from the 15th cen...

We report on recent results with word-spotting (WS) in Hebrew historical texts, manuscript and printed. The advantage of such a retrieval system is that it works on images without any need for manual or computer transcription of the texts. The method allows for extremely rapid querying, while still maintaining high accuracy; thus, it should be considered as an important tool in historical textu...

We are developing a bidirectional recommendation system that extracts the relationship among digital texts with historical logs, and recommends the optimum texts for learners using data mining methods, such as collaborative filtering. In this paper, we first discuss the bidirectional recommendation and then show results from an evaluation of actual use. Finally, we propose a method for a collab...

This article realized the Russian way of theological media education literacy and hermeneutic analysis of specific examples of Soviet anti-religious audiovisual media texts: a study of the process of interpretation of these media texts, cultural and historical factors influencing the views of the media agency / authors. The hermeneutic analysis suggests media text comprehension through comparis...

A new empirico-statistical model is suggested to distinguish dependent narrative texts from independent narrative texts by means of their volume functions. A "regard for information" principle and an "amplitude correlation" principle are formulated. The model and both principles are examined experimentally using specific historical texts.

Historical corpora are important resources for different areas. Philology, Human Language Technology, Literary Studies, History, and Lexicography are some that benefit from them. However, compiling historical corpora is different from compiling contemporary corpora. Corpus designers have to deal with several characteristics inherent in historical texts, such as: absence of a spelling standard, ...

The applications of Social Network Analysis [Scott, 2013] to literary and historical texts have attracted a growing interest in the scholarly community as powerful tools to investigate social structures. At the same time, the increased access to large amounts of digitized historical texts and the availability of corpus tools and computational methods for analysing those data in automatic ways o...

In the last decades, the amount of digital data has grown rapidly. This also impacted the humanities field where the humanists and computer scientists collaborate to digitize historical texts for preservation purpose. Due to this effort, many historical texts that were accessible to few scholars became widely available in form of digital texts. The focus shifted from printed to digital texts. T...