The database of ELTE Poetry Corpus offers an interface for making online queries in the oeuvres of more than forty Hungarian poets.
The Web Harvest Project stores portals associated with what is called targeted archiving. Due to the textual content on them, they are also normalized.
The Novel Corpus includes digitalized, annotated, and searchable versions of Hungarian-language novels.
The dictionary has been created within the framework of the Digital Literacy and Literary Education Research Group and contains the entries of the course Digital Competencies.
This project processes data from prosopograhy research groups (HECE, Tudásáramlás, Elit Data) using Wikibase.
The goal of the laboratory is to develop a methodology for the AI-based processing, researching, teaching, and distribution of national cultural heritage.
Favoured by linguists and lexicographers, Sketch Engine is a corpus query system for our research partners to search the texts of our corpus.
Tomorrow we will kick off the first day of the DARIAH Annual Event, which we are hosting at ELTE. We are proud to partner with DARIAH and support their mission. We look forward to welcoming you all over the next four days! In the meantime, browse the conference’s technical programme, free for all! More information here.
The deadline for submissions for the DH_BUDAPEST & DARIAH DAYS conference has been extended to 15 July. So far, abstracts have been received from 3 continents and more than 10 countries. This year, the main focus of the conference is networks and networking, but we also welcome abstracts broadly related to the topic. Abstracts of 300-500 words and a short ...
Call for papers Revisiting Authorship Attribution A SPECIAL ISSUE OF INTERNATIONAL JOURNAL OF DIGITAL HUMANITIES Stylometric authorship attribution research aims to reveal the connection of a text of unknown authorship to a specific author using a set of quantifiable text features as indicators of the author’s style. It is one of the oldest applications of quantitative methods in linguistic data with ...
Copyrights © 2020 All Rights Reserved, Powered by ELTE