HaBiT system

• Authors: PALA Karel; HORÁK Aleš; RYCHLÝ Pavel; SUCHOMEL Vít; BAISA Vít; JAKUBÍČEK Miloš; KOVÁŘ Vojtěch; NEVĚŘILOVÁ Zuzana; RAMBOUSEK Adam; GAMBÄCK Björn; SIKDAR Utpal; BUNGUM Lars
• Year of publication: 2017
• MU Faculty or unit: Faculty of Informatics
• Web: http://corpora.fi.muni.cz/habit/
• Description: HaBiT system summarizes technical results of the Czech-Norwegian research project 7F14047 Harvesting big text data for under-resourced languages. The main objectives of the HaBiT project were to gather large-scale text data (corpora) from the Web for under-resourced languages, involving Norwegian, partly Czech and the major languages of Ethiopia — Amharic, Afaan Oromo, Tigrinya, Somali — and to build shallow processing applications. The gathered data were processed to make it usable in many language applications, such as information extraction or machine translation. Furthermore, in the process of collecting corpora data, existing tools for building web text resources were further developed and improved since the Ethiopian languages are quite different from most European languages.

Related projects

• Harvesting big text data for under-resourced languages
• Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VI.