Pregled bibliografske jedinice broj: 1008004
Working together towards an ideal infrastructure for language learner corpora
Working together towards an ideal infrastructure for language learner corpora // Widening the scope of learner corpus research: selected papers from the fourth learner corpus research conference / Abel, Andrea ; Glaznieks, Aivars ; Lyding, Verena ; Nicolas, Lionel (ur.).
Louvain-la-Neuve: Presses Universitaires de Louvain, 2019. str. 427-468 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1008004 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Working together towards an ideal infrastructure
for language learner corpora
Autori
Stemle, Egon W. ; Boyd, Adriane ; Janssen, Maarten ; Lindström Tiedemann, Therese ; Mikelić Preradović, Nives ; Rosen, Alexandr ; Rosén, Dan ; Volodina, Elena
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Widening the scope of learner corpus research: selected papers from the fourth learner corpus research conference
/ Abel, Andrea ; Glaznieks, Aivars ; Lyding, Verena ; Nicolas, Lionel - Louvain-la-Neuve : Presses Universitaires de Louvain, 2019, 427-468
ISBN
9782875588685
Skup
4th Learner Corpus Research Conferene (LCR 2017)
Mjesto i datum
Bolzano, Italija, 05.10.2017. - 07.10.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
learner corpus research, interoperability , reusability, seven European countries
Sažetak
In this article we provide an overview of first- hand experiences and vantage points for best practices from projects in seven European countries dedicated to learner corpus research (LCR) and the creation of language learner corpora. The corpora and tools involved in LCR are becoming more and more important, as are careful preparation and easy retrieval and reusability of corpora and tools. But the lack of commonly agreed solutions for many aspects of LCR, interoperability between learner corpora and the exchange of data from different learner corpus projects remains a challenge. We show how concepts like metadata, anonymization, error taxonomies and linguistic annotations as well as tools, toolchains and data formats can be individually challenging and how the challenges can be solved.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
COST-CA16105 - European Network for Combining Language Learning with Crowdsourcing Techniques (EnetCollect) (Mikelić Preradović, Nives, COST - OC-2016-1) ( CroRIS)
Ustanove:
Filozofski fakultet, Zagreb
Profili:
Nives Mikelić Preradović
(autor)