Pregled bibliografske jedinice broj: 915533
Towards educating and motivating the crowd – a crowdsourcing platform for harvesting the fruits of NLP students' labour
Towards educating and motivating the crowd – a crowdsourcing platform for harvesting the fruits of NLP students' labour // Human language technologies as a challenge for computer science and linguistics: proceedings / Vetulani, Zygmunt ; Paroubek, Patrick (ur.).
Poznań: Fundacja Uniwersytetu im. Adama Mickiewicza w Poznaniu, 2017. str. 332-336 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 915533 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Towards educating and motivating the crowd – a
crowdsourcing platform for harvesting the
fruits of NLP students' labour
Autori
Jaworski, Rafał ; Seljan, Sanja ; Dunđer, Ivan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Human language technologies as a challenge for computer science and linguistics: proceedings
/ Vetulani, Zygmunt ; Paroubek, Patrick - Poznań : Fundacja Uniwersytetu im. Adama Mickiewicza w Poznaniu, 2017, 332-336
ISBN
978-83-64864-94-0
Skup
8th Language & technology conference: human language technologies as a challenge for computer science and linguistics
Mjesto i datum
Poznań, Poljska, 17.11.2017. - 19.11.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
crowdsourcing, gamification, NLP, machine translation resources, parallel corpora, sentence alignment, less-resourced languages, Croatian, TMrepository
Sažetak
This paper presents an idea to bring crowdsourcing to a higher level, for the purpose of acquiring valuable machine translation and natural language processing resources. In the proposed scenario, students are being educated in order to improve the quality and effectiveness of their natural language processing (NLP) related work. Their motivation is ensured by introducing an element of gamification – a ranking is kept, where the best contributing users are decorated with medals. The ranking is available at all times to all users and is always up-to-date, hence the effects of the contributions are immediately visible to the users. This scenario was applied to a group of students enrolled in Natural Language Processing course, who were presented with a task of collecting parallel corpora for less-resourced language pairs, in this case Croatian-English and English- Croatian. The whole experiment was supervised with the help of a custom-made open-source system named TMrepository, developed and maintained by the authors of this paper.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Filozofski fakultet, Zagreb
