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Classification of Language Proficiency Levels in Swedish Learners' Texts

Conference contribution
Authors Ildikó Pilán
Elena Volodina
Published in The Sixth Swedish Language Technology Conference (SLTC), Umeå University, 17-18 November, 2016
Publication year 2016
Published at Department of Swedish
Language en
Links sltc2016.cs.umu.se/?page_id=247
Keywords NLP, CEFR, learner essays, automatic classification
Subject categories Language Technology (Computational Linguistics), Specific Languages, Didactics

Abstract

We evaluate a system for the automatic classification of texts written by learners of Swedish as a second language into levels of language proficiency. Since the amount of available annotated learner essay data for our target language is rather small, we explore also the potentials of domain adaptation for this task. The additional domain consists of coursebook texts written by experts for learners. We find that already with a smaller amount of in-domain Swedish learner essay data it is possible to obtain results that compare well to state-of-the-art systems for other languages, with domain adaptation methods yielding a slight improvement.

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