Deep Neural Networks (DNNs) trained on one dataset (source domain) do not perform well
on another set of data (target domain), which is different but has similar properties as the …

Background Graph analysis detects psychosis and literacy acquisition. Bronze Age literature
has been proposed to contain childish or psychotic features, which would only have matured …

Abstract Representation learning is the dominant technique for unsupervised domain
adaptation, but existing approaches have two major weaknesses. First, they often require …

The objective of this work is to set a corpus-driven methodology to quantify automatically
diachronic language distance between chronological periods of several languages. We …

As more historical texts are digitized, there is interest in applying natural language
processing tools to these archives. However, the performance of these tools is often …

Unsupervised domain adaptation often relies on transforming the instance representation.
However, most such approaches are designed for bag-of-words models, and ignore the …

This short paper introduces the HeliPaD, a new parsed corpus of Old Saxon (Old Low
German). It is annotated according to the standards of the Penn Corpora of Historical …

The topic of this paper is a rule-based pipeline for converting constituency treebanks based
on the Penn Treebank format to Universal Dependencies (UD). We describe an Icelandic …

The availability of more and more literary texts in electronic form has opened up the
possibility to do research on large quantities of data using computer-intensive methods …

This study describes a change in which relative clause extraposition is in the process of
being lost in English, Icelandic, French, and Portuguese. This current change in progress …