Building a learner corpus.
The need for data about the acquisition of Czech by non-native learners prompted the compilation of the first learner corpus of Czech. After introducing its basic design and parameters, including a multi-tier manual annotation scheme and error taxonomy, we focus on the more technical aspects: the tr...
| Publicado en: | Language Resources & Evaluation Vol. 48; no. 4; pp. 741 - 753 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Nature
Dec2014
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=99708562&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 99708562 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Dec2014 vid: 48 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 99708562 10.1007/s10579-014-9278-z ppf: 741 ppct: 12 formats: fmt: @attributes: type: P size: 966KB tig: atl: Building a learner corpus. aug: au: Hana, Jirka Rosen, Alexandr Štindlová, Barbora Štěpánek, Jan affil: Faculty of Mathematics and Physics, Charles University, Prague Czech Republic Faculty of Arts, Charles University, Prague Czech Republic Technical University, Liberec Czech Republic su: Czech language Corpora Annotations Spell checkers (Computer programs) Native language Grammar sug: subj: Czech language Corpora Annotations Spell checkers (Computer programs) Native language Grammar keyword: Czech Error annotation Learner corpus ab: The need for data about the acquisition of Czech by non-native learners prompted the compilation of the first learner corpus of Czech. After introducing its basic design and parameters, including a multi-tier manual annotation scheme and error taxonomy, we focus on the more technical aspects: the transcription of hand-written source texts, process of annotation, and options for exploiting the result, together with tools used for these tasks and decisions behind the choices. To support or even substitute manual annotation we assign some error tags automatically and use automatic annotation tools (tagger, spell checker). pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2014. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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