Pregled bibliografske jedinice broj: 1274164
Four Million Segments and Counting: Building an English-Croatian Parallel Corpus through Crowdsourcing Using a Novel Gamification-Based Platform
Four Million Segments and Counting: Building an English-Croatian Parallel Corpus through Crowdsourcing Using a Novel Gamification-Based Platform // Information, 14 (2023), 4; 226-244 doi:10.3390/info14040226 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1274164 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Four Million Segments and Counting: Building an
English-Croatian Parallel Corpus through
Crowdsourcing Using a Novel Gamification-Based
Platform
Autori
Jaworski, Rafal ; Seljan, Sanja ; Dunđer, Ivan
Izvornik
Information (2078-2489) 14
(2023), 4;
226-244
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
parallel corpus ; data acquisition ; gamification ; crowdsourcing ; machine translation ; natural language processing
Sažetak
Parallel corpora have been widely used in the fields of natural language processing and translation as they provide crucial multilingual information. They are used to train machine translation systems, compile dictionaries, or generate inter-language word embeddings. There are many corpora available publicly ; however, support for some languages is still limited. In this paper, the authors present a framework for collecting, organizing, and storing corpora. The solution was originally designed to obtain data for less-resourced languages, but it proved to work very well for the collection of high-value domain-specific corpora. The scenario is based on the collective work of a group of people who are motivated by the means of gamification. The rules of the game motivate the participants to submit large resources, and a peer-review process ensures quality. More than four million translated segments have been collected so far.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
--11-933-1053 - Strojno učenje i obrada prirodnog jezika u domeni računalne sigurnosti – II. dio (Seljan, Sanja) ( CroRIS)
Ustanove:
Filozofski fakultet, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus