PALA, Karel, Aleš HORÁK, Pavel RYCHLÝ, Vít SUCHOMEL, Vít BAISA, Miloš JAKUBÍČEK, Vojtěch KOVÁŘ, Zuzana NEVĚŘILOVÁ, Adam RAMBOUSEK, Björn GAMBÄCK, Utpal SIKDAR and Lars BUNGUM. HaBiT system. 2017.
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Basic information
Original name HaBiT system
Authors PALA, Karel (203 Czechia, guarantor, belonging to the institution), Aleš HORÁK (203 Czechia, belonging to the institution), Pavel RYCHLÝ (203 Czechia, belonging to the institution), Vít SUCHOMEL (203 Czechia, belonging to the institution), Vít BAISA (203 Czechia, belonging to the institution), Miloš JAKUBÍČEK (203 Czechia, belonging to the institution), Vojtěch KOVÁŘ (203 Czechia, belonging to the institution), Zuzana NEVĚŘILOVÁ (203 Czechia, belonging to the institution), Adam RAMBOUSEK (203 Czechia, belonging to the institution), Björn GAMBÄCK (578 Norway), Utpal SIKDAR (578 Norway) and Lars BUNGUM (578 Norway).
Edition 2017.
Other information
Original language English
Type of outcome Software
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czechia
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14330/17:00096850
Organization unit Faculty of Informatics
Keywords in English corpus tool; corpus manager; word list; word sketch; sketch differece; concordance
Technical parameters HaBiT system is provided in the form of a web service, which allows to access and search the text corpora of Amharic, Oromo, Tigrinya and Somali languages of Ethiopia and Norwegian and Czech corpora, as well as use the Universal Dependencies taggers of the 4 Ethiopian languages.
Changed by Changed by: doc. RNDr. Aleš Horák, Ph.D., učo 1648. Changed: 23/1/2018 15:19.
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.
MUNI/A/0897/2016, internal MU codeName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VI.
Investor: Masaryk University, Grant Agency of Masaryk University, Category A
7F14047, research and development projectName: Harvesting big text data for under-resourced languages (Acronym: HaBiT)
Investor: Ministry of Education, Youth and Sports of the CR, Czech-Norwegian Research Programme (CZ09)
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