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Automatic CEFR Level Prediction for Estonian Learner Text
Sowmya Vajjala
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Kaidi Lõo
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Paper Details:
Month: November
Year: 2014
Location: Uppsala, Sweden
Venue:
NLP4CALL |
WS |
SIG: SIGEDU
Citations
URL
Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks
Ildikó Pilán
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Elena Volodina
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Torsten Zesch
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Introducing EVALD – Software Applications for Automatic Evaluation of Discourse in Czech
Kateřina Rysová
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Magdaléna Rysová
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Jiří Mírovský
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Michal Novák
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Coursebook Texts as a Helping Hand for Classifying Linguistic Complexity in Language Learners’ Writings
Ildikó Pilán
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David Alfter
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Elena Volodina
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Human and Automated CEFR-based Grading of Short Answers
Anaïs Tack
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Thomas François
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Sophie Roekhaut
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Cédrick Fairon
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Investigating the importance of linguistic complexity features across different datasets related to language learning
Ildikó Pilán
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Elena Volodina
|
http://evkk.tlu.ee/
http://evkk.tlu.ee/statistics.html
http://htmlunit.sourceforge.net
http://www.ims.uni-stuttgart.de/projekte/corplex/TreeTagger/
http://www.cl.ut.ee/korpused/morfkorpus/
http://www.cl.ut.ee/korpused/morfliides/seletus
http://lpcs.math.msu.su/
http://purl.org/lead
http://ilexir.co.uk/applications/clc-fce-dataset
Field Of Study
Linguistic Trends
Morphology
Task
Corpus Annotation
Tagging
Language
English
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