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 …

This paper explores keywords, key part-of-speech categories and key semantic categories
and their role in text analysis. The first part of the paper addresses a set of issues relating to …

When applying corpus linguistic techniques to historical corpora, the corpus researcher
should be cautious about the results obtained. Corpus annotation techniques such as part of …

There is no consensus on the state-of-the-art approach to historical text normalization. Many
techniques have been proposed, including rule-based methods, distance metrics, character …

Frequency-sorted word lists have long been part of the standard methodology for exploiting
corpora. Sinclair (1991: 30) noted that" anyone studying a text is likely to need to know how …

Corpus linguistics uses large electronic databases of language to examine hypotheses
about language use. These can be tested scientifically with computerised analytical tools …

The study of temporal dynamics and its impact can be framed within the so-called temporal
IR approaches, which explain how user behavior, document content and scale vary with …

In this paper we focus on automatic part-of-speech (POS) annotation, in the context of
historical English texts. Techniques that were originally developed for modern English have …

In this paper, we apply different NMT models to the problem of historical spelling
normalization for five languages: English, German, Hungarian, Icelandic, and Swedish. The …

In this paper we propose an approach to tagging and parsing of historical text, using
characterbased SMT methods for translating the historical spelling to a modern spelling …