This paper presents the ParlaMint corpora containing transcriptions of the sessions of the 17
European national parliaments with half a billion words. The corpora are uniformly encoded …

Abstract In ParlaMint I, a CLARIN-ERIC supported project in pandemic times, a set of
comparable and uniformly annotated multilingual corpora for 17 national parliaments were …

The paper presents the results of the ParlaMint II project, which comprise comparable
corpora of parliamentary debates of 29 European countries and autonomous regions …

Recent significant improvements in speech and language technologies come both from self-
supervised approaches over raw language data as well as various types of explicit …

This paper focuses on detection of sources in the Czech articles published on a news server
of Czech public radio. In particular, we search for attribution in sentences and we recognize …

The aim of this work is to describe the colection created with transcript of the Basque
parliamentary speeches. This corpus follows the constraints of the ParlaMint project. The …

In the domain of Automatic Speech Recognition (ASR), Inverse Text Normalization (ITN) is
applied after the speech recognition step to transform recognized verbalized text into written …

This work aims to develop a model that can convert Czech input text into speech that closely
resembles a target speaker. The chosen approach involves training a base text-to-speech …

One of the leading challenges in Automatic Speech Recognition (ASR) is the development
of robust systems that can perform well under multiple settings. In this work we construct and …

This paper focuses on the challenges of refining the workflow for collecting and adding
metadata to the ParlaMint corpora designed for research in the social sciences and …