Optical Character Recognition (OCR) on historical printings is a challenging task mainly due
to the complexity of the layout and the highly variant typography. Nevertheless, in the last …

Development sets are impractical to obtain for real low-resource languages, since using all
available data for training is often more effective. However, development sets are widely …

In this paper we describe a dataset of German and Latin\textit {ground truth}(GT) for
historical OCR in the form of printed text line images paired with their transcription. This …

This volume explores the opportunities afforded by the construction and evaluation of
multilayer corpora, an emerging methodology within corpus linguistics that brings about …

With the increasing availability of digitized resources of historical documents, interest in
effective natural language processing (NLP) for these documents is on the rise. However …

In this chapter, we provide an overview of the main concepts relating to corpus annotation,
along with some discussion of the practical aspects of creating annotated texts and working …

We introduce the task of historical text summarisation, where documents in historical forms
of a language are summarised in the corresponding modern language. This is a …

Diese Dissertation beschreibt das Design und die Implementierung eines effizienten
Suchsystems für linguistische Korpora. Das bestehende und auf einer relationalen …

Historical text normalization suffers from small datasets that exhibit high variance, and
previous work has shown that multi-task learning can be used to leverage data from related …

In this corpus-based study we explore three measurements of L2 fluency–articulation rate,
filler particles, and pauses–, both within and between two registers of spontaneous …