Istituto di linguistica applicata - Projects - LCI

LCI

Infrastruttura per Corpora di Testi di Apprendenti

Deutsch
English

Italiano

Project duration: December 2015 - December 2022
Project status:
Approval by the Scientific Committee

I corpora di apprendenti (learner corpora) costituiscono una base fondamentale per una parte rilevante delle attività di ricerca dell'Istituto di linguistica applicata. Il progetto denominato "Learner Corpus Infrastructure" (LCI) mira ad incrementare il potenziale di ricerca dell'Istituto, realizzando un'infrastruttura sempre più efficiente dedicata alla raccolta, all'elaborazione e al manutenzione dei corpora di apprendenti.

Publications

Kolipsi-1 Corpus v1.0
Glaznieks A, Frey JC, Abel A, Vettori C, Nicolas L (2021)
Banca dati

Ulteriori informazioni: http://hdl.handle.net/20.500.12124/26

Kolipsi-2 Corpus v1.0
Glaznieks A, Frey JC, Abel A, Vettori C, Nicolas L (2021)
Banca dati

Ulteriori informazioni: http://hdl.handle.net/20.500.12124/30

Exploring Reusability and Reproducibility for a Research Infrastructure for L1 and L2 Learner Corpora
König A, Frey JC, Stemle EW (2021)
MDPI AG
Articolo su rivista
Information

Ulteriori informazioni: http://dx.doi.org/10.3390/info12050199

https://doi.org/10.3390/info12050199

http://hdl.handle.net/10863/17415

PORTA: The Learner Corpus Portal of Eurac Research
Glaznieks A (2020)
Sito web

Ulteriori informazioni: https://www.porta.eurac.edu/

http://hdl.handle.net/10863/14747

CTAP for Italian: Integrating Components for the Analysis of Italian into a Multilingual Linguistic Complexity Analysis Tool
Okinina N, Frey JC, Weiß Z (2020)
Contributo in atti di convegno

Conferenza: 12th International Conference on Language Resources and Evaluation (LREC 2020) | Marseille | 11.5.2020 - 16.5.2020

Creating a learner corpus infrastructure: Experiences from making language learner data available
König A, Frey JC (2020)
Presentazione

Conferenza: International Conference on ICT Enhanced Social Sciences and Humanities (ICTeSSH 2020) | Virtual | 29.6.2020 - 1.7.2020

https://hdl.handle.net/10863/14866

Lexikalische Komplexität im Kontext holistischer Textbewertungen
Frey JC (2020)
Presentazione

Conferenza: Mehrsprachigkeit und Lernerkorpora | Bolzano | 13.2.2020 - 13.2.2020

https://hdl.handle.net/10863/14953

Creating a learner corpus infrastructure: Experiences from making language learner data available
Frey J, König A, Fišer D (2020)
Contributo in atti di convegno

Conferenza: International Conference on ICT Enhanced Social Sciences and Humanities (ICTeSSH 2020) | Virtual | 29.6.2020 - 1.7.2020

Ulteriori informazioni: https://www.itm-conferences.org/articles/itmconf/pdf/2020/03 ...

https://doi.org/10.1051/itmconf/20203303006

LEONIDE: A longitudinal trilingual corpus of young learners of Italian, German and English
Glaznieks A, Frey JC, Stopfner M, Zanasi L (2020)
Presentazione

Conferenza: 14th Teaching and Language Corpora conference (TaLC 2020) | Perpignan | 15.7.2020 - 17.7.2020

LEONIDE – Longitudinal Learner Corpus in Italiano, Deutsch and English 1.0
Glaznieks A, Frey JC, Stopfner M, Zanasi L, Nicolas L (2020)
Banca dati

Ulteriori informazioni: http://hdl.handle.net/20.500.12124/25

Transc&Anno: A Graphical Tool for the Transcription and On-the-Fly Annotation of Handwritten Documents
Okinina N, Nicolas L, Lyding V (2018)
Presentazione

Conferenza: Games4NLP workshop at Eleventh International Conference on Language Resources and Evaluation (LREC 2018) | Miyazaki | 7.5.2018 - 12.5.2018

Transc&Anno: A Graphical Tool for the Transcription and On-the-Fly Annotation of Handwritten Documents
Okinina N, Nicolas L, Lyding V (2018)
Contributo in atti di convegno

Conferenza: Games4NLP workshop at Eleventh International Conference on Language Resources and Evaluation (LREC 2018) | Miyazaki | 7.5.2018 - 12.5.2018

Ulteriori informazioni: www.lrec-conf.org/proceedings/lrec2018/pdf/107.pdf

https://hdl.handle.net/10863/7940

KoKo German L1 Learner Corpus v3
Abel A, Glaznieks A, Culy C (2014)
Banca dati

Ulteriori informazioni: http://hdl.handle.net/20.500.12124/12

Team del progetto

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