HaBiT system

This publication doesn't include Faculty of Arts. It includes Faculty of Informatics. Official publication website can be found on muni.cz.

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

MU Faculty or unit

Faculty of Informatics

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: