The first post-WWII years in Greece were devastating. After a brutal Nazi occupation, the Greek Civil War (1946–1949) erupted. It wrecked the economy and the country’s infrastructure and altered politics and the social fabric for decades to come. For the tense and unstable first years of the conflict (1946–1947), a study of the issues discussed in the Greek parliament could facilitate our understanding of the society at the time. An obstacle is that parliament proceedings are publicly available in a machine-readable form from 1989; before that only scanned images of the original records exist. We show that text recognition followed by natural language processing can unlock this corpus for historical research. Using Transkribus, we trained a...
This training dataset includes a total of 34,913 manually transcribed text segments. It is dedicated...
This paper describes methods that exploit stenographic transcripts of the German parliament to impro...
We describe the design and results of an experiment in using text-mining and machine-learning techni...
Large, diachronic datasets of political discourse are hard to come across, especially for resource-l...
This dataset originated from the work implemented during the course of the Master thesis entitled "S...
This dataset is produced on behalf of iMEdD by PhD Student in Machine Learning Konstantina Dritsa, w...
Dataset for the paper: "A System for Processing and Recognition of Greek Byzantine and Post-Byzantin...
The dataset includes supplementary files of the previous upload "A Greek Parliament Proceedings Data...
This corpus of parliamentary questions, or simply questions, is the first Greek open corpus-based on...
The dataset consists of a ZIP file with the speeches contained in the five volumes of the protocol o...
Ground truth manually produced within the scope of the CGPG project (Calfa GREgORI Patrologia Graeca...
In this article I analyse parliamentary debates of the Finnish Parliament (Eduskunta) on European in...
We are proposing a method to investigate changes in historical discourse by using large bodies of te...
This dataset has been considered suitable for exploring and analysing the Eastern German Crisis Disc...
The Greek Parliament is a critical institution for the Greek Democracy, where important decisions ar...
This training dataset includes a total of 34,913 manually transcribed text segments. It is dedicated...
This paper describes methods that exploit stenographic transcripts of the German parliament to impro...
We describe the design and results of an experiment in using text-mining and machine-learning techni...
Large, diachronic datasets of political discourse are hard to come across, especially for resource-l...
This dataset originated from the work implemented during the course of the Master thesis entitled "S...
This dataset is produced on behalf of iMEdD by PhD Student in Machine Learning Konstantina Dritsa, w...
Dataset for the paper: "A System for Processing and Recognition of Greek Byzantine and Post-Byzantin...
The dataset includes supplementary files of the previous upload "A Greek Parliament Proceedings Data...
This corpus of parliamentary questions, or simply questions, is the first Greek open corpus-based on...
The dataset consists of a ZIP file with the speeches contained in the five volumes of the protocol o...
Ground truth manually produced within the scope of the CGPG project (Calfa GREgORI Patrologia Graeca...
In this article I analyse parliamentary debates of the Finnish Parliament (Eduskunta) on European in...
We are proposing a method to investigate changes in historical discourse by using large bodies of te...
This dataset has been considered suitable for exploring and analysing the Eastern German Crisis Disc...
The Greek Parliament is a critical institution for the Greek Democracy, where important decisions ar...
This training dataset includes a total of 34,913 manually transcribed text segments. It is dedicated...
This paper describes methods that exploit stenographic transcripts of the German parliament to impro...
We describe the design and results of an experiment in using text-mining and machine-learning techni...