HaBiT system

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.

Basic information

• Original name: HaBiT system
• Authors: PALA, Karel (203 Czech Republic, guarantor, belonging to the institution), Aleš HORÁK (203 Czech Republic, belonging to the institution), Pavel RYCHLÝ (203 Czech Republic, belonging to the institution), Vít SUCHOMEL (203 Czech Republic, belonging to the institution), Vít BAISA (203 Czech Republic, belonging to the institution), Miloš JAKUBÍČEK (203 Czech Republic, belonging to the institution), Vojtěch KOVÁŘ (203 Czech Republic, belonging to the institution), Zuzana NEVĚŘILOVÁ (203 Czech Republic, belonging to the institution), Adam RAMBOUSEK (203 Czech Republic, 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: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• 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.

Abstract

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.

Links

• MUNI/A/0897/2016, interní kód MU: Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VI.

Investor: Masaryk University, Category A

• 7F14047, research and development project: Name: Harvesting big text data for under-resourced languages (Acronym: HaBiT)

Investor: Ministry of Education, Youth and Sports of the CR