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Automatic generation of exercises on passive transformation in portuguese

dc.contributor.authorBaptista, Jorge
dc.contributor.authorLourenço, Sandra
dc.contributor.authorMamede, Nuno J.
dc.date.accessioned2017-04-07T15:57:21Z
dc.date.available2017-04-07T15:57:21Z
dc.date.issued2016
dc.description.abstractTechnology plays a very important role in education and Intelligent Computer-Assisted Language Learning (iCALL) has emerged as a complementary or even alternative method to the conventional language teaching practices. The automatic generation (and correction) of language exercises based on real texts extracted from corpora constitutes a non-trivial challenge to iCALL tutorial systems, and may involve the use of sophisticated Natural Language Processing tools and large-scale linguistic resources. This paper presents the main issues related to the automatic generation of exercises on the Passive transformation, a commonly occurring type of exercises in language textbooks, but also a very complex topic of Portuguese grammar. The paper describes the methods used to produce a large batch of passive-active sentence pairs, where the active sentence was automatically generated from naturally occurring passive sentences, taken from a large-sized, publicly available, corpus. Sentence pairs are ranked by difficulty level. A sample of randomly selected sentence pairs (40 from difficult level, 100 from medium, and 100 from easy level) was manually evaluated by an expert. Results are presented and error analysis is performed. The sentence pairs can be used as prime and correct answer for iCALL systems.
dc.identifier.isbn978-1-5090-0622-9
dc.identifier.otherAUT: JBA00689;
dc.identifier.urihttp://hdl.handle.net/10400.1/9684
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relation.isbasedonWOS:000390749105021
dc.titleAutomatic generation of exercises on passive transformation in portuguese
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FCEC%2F50021%2F2013/PT
oaire.citation.conferencePlaceVancouver, Canada
oaire.citation.endPage4972
oaire.citation.startPage4965
oaire.citation.title2016 IEEE Congress on Evolutionary Computation
oaire.fundingStream5876
person.familyNameBaptista
person.givenNameJorge
person.identifier.ciencia-id7010-5366-22C5
person.identifier.orcid0000-0003-4603-4364
person.identifier.ridH-7699-2013
person.identifier.scopus-author-id14035269500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccess
rcaap.typearticle
relation.isAuthorOfPublicatione817fa28-a005-40e2-9ba4-03fdaedd7df3
relation.isAuthorOfPublication.latestForDiscoverye817fa28-a005-40e2-9ba4-03fdaedd7df3
relation.isProjectOfPublication4b33c456-e2db-4613-a2ef-db1484b29ab7
relation.isProjectOfPublication.latestForDiscovery4b33c456-e2db-4613-a2ef-db1484b29ab7

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