CEFLE and Direkt Profil: a New Computer Learner Corpus in French L2 and a System for Grammatical Profiling

Jonas Granfeldt, Pierre Nugues, Malin Ågren, Jonas Thulin, Emil Persson, Suzanne Schlyter


Abstract
The importance of computer learner corpora for research in both second language acquisition and foreign language teaching is rapidly increasing. Computer learner corpora can provide us with data to describe the learner’s interlanguage system at different points of its development and they can be used to create pedagogical tools. In this paper, we first present a new computer learner corpus in French. We then describe an analyzer called Direkt Profil, that we have developed using this corpus. The system carries out a sentence analysis based on developmental sequences, i.e. local morphosyntactic phenomena linked to a development in the acquisition of French as a foreign language. We present a brief introduction to developmental sequences and some examples in French. In the final section, we introduce and evaluate a method to optimize the definition and detection of learner profiles using machine-learning techniques.
Anthology ID:
L06-1138
Volume:
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
Month:
May
Year:
2006
Address:
Genoa, Italy
Venue:
LREC
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Publisher:
European Language Resources Association (ELRA)
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URL:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/246_pdf.pdf
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Cite (ACL):
Jonas Granfeldt, Pierre Nugues, Malin Ågren, Jonas Thulin, Emil Persson, and Suzanne Schlyter. 2006. CEFLE and Direkt Profil: a New Computer Learner Corpus in French L2 and a System for Grammatical Profiling. In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy. European Language Resources Association (ELRA).
Cite (Informal):
CEFLE and Direkt Profil: a New Computer Learner Corpus in French L2 and a System for Grammatical Profiling (Granfeldt et al., LREC 2006)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/246_pdf.pdf