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	title        = {Proceedings of the 9th Workshop on Natural Language Processing for Computer Assisted Language Learning 2020},
	abstract     = {The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, the integration of insights from Second Language Acquisition (SLA) research, and the promotion of “Computational SLA” through setting up Second Language research infrastructures.
This collection presents four selected papers describing use of Language Technology for language learning.},
	author       = {Alfter, David and Volodina, Elena and Pilán, Ildikó and Lange, Herbert and Borin, Lars},
	year         = {2020},
	publisher    = {Linköping University Electronic Press},
	address      = {Linköping},
	ISBN         = {978-91-7929-732-9},

	title        = {Expert judgments versus crowdsourcing in ordering multi-word expressions},
	abstract     = {In  this  study  we  investigate  to  which  degree  experts  and  non-experts  agree  on questions  of  linguistic  complexity  in  a  crowdsourcing  experiment.  We  ask  non-experts (second language learners of Swedish) and two groups of experts (teachers of Swedish as a second/foreign language and CEFR experts) to rank multi-word expressions  in  a  crowdsourcing  experiment. We  find  that  the  resulting  rankings by all the three tested groups correlate to a very high degree, which suggests that judgments  produced  in  a  comparative  setting  are  not  influenced  by  professional insights into Swedish as a second language.  },
	booktitle    = {Proceedings of the Swedish Language Technology Conference (SLTC), 25–27 November 2020, (Online)},
	author       = {Alfter, David and Lindström Tiedemann, Therese and Volodina, Elena},
	year         = {2020},