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@misc{1381969,
author = {Pala, Karel and Horák, Aleš and Rychlý, Pavel and Suchomel, Vít and Baisa, Vít and Jakubíček, Miloš and Kovář, Vojtěch and Nevěřilová, Zuzana and Rambousek, Adam and Gambäck, Björn and Sikdar, Utpal and Bungum, Lars},
keywords = {corpus tool; corpus manager; word list; word sketch; sketch differece; concordance},
language = {eng},
institution = {Masarykova univerzita},
organization = {Masarykova univerzita},
title = {HaBiT system},
url = {http://corpora.fi.muni.cz/habit/},
year = {2017}
}
TY -
ID - 1381969
AU - Pala, Karel - Horák, Aleš - Rychlý, Pavel - Suchomel, Vít - Baisa, Vít - Jakubíček, Miloš - Kovář, Vojtěch - Nevěřilová, Zuzana - Rambousek, Adam - Gambäck, Björn - Sikdar, Utpal - Bungum, Lars
PY - 2017
TI - HaBiT system
KW - corpus tool
KW - corpus manager
KW - word list
KW - word sketch
KW - sketch differece
KW - concordance
UR - http://corpora.fi.muni.cz/habit/
L2 - http://corpora.fi.muni.cz/habit/
N2 - 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.
ER -
PALA, Karel, Aleš HORÁK, Pavel RYCHLÝ, Vít SUCHOMEL, Vít BAISA, Miloš JAKUBÍČEK, Vojtěch KOVÁŘ, Zuzana NEVĚŘILOVÁ, Adam RAMBOUSEK, Björn GAMBÄCK, Utpal SIKDAR a Lars BUNGUM. \textit{HaBiT system}. 2017.
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