Towards advanced collocation error correction in Spanish learner corpora.
Collocations in the sense of idiosyncratic binary lexical co-occurrences are one of the biggest challenges for any language learner. Even advanced learners make collocation mistakes in that they literally translate collocation elements from their native tongue, create new words as collocation elemen...
| Publicado en: | Language Resources & Evaluation Vol. 48; no. 1; pp. 45 - 65 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Nature
Mar2014
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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=95006727&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 95006727 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Mar2014 vid: 48 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 95006727 10.1007/s10579-013-9242-3 ppf: 45 ppct: 20 formats: fmt: @attributes: type: P size: 622KB tig: atl: Towards advanced collocation error correction in Spanish learner corpora. aug: au: Ferraro, Gabriela Nazar, Rogelio Alonso Ramos, Margarita Wanner, Leo affil: Department of Information and Communication Technologies, Pompeu Fabra University, Barcelona Spain Institute for Applied Linguistics, Pompeu Fabra University, Barcelona Spain Faculty of Philology, University of La Coruña, La Coruña Spain Department of Information and Communication Technologies, Catalan Institute for Research and Advanced Studies (ICREA), Pompeu Fabra University, Barcelona Spain su: Collocation (Linguistics) Error correction (Information theory) Spanish language Corpora Accuracy of information sug: subj: Collocation (Linguistics) Error correction (Information theory) Spanish language Corpora Accuracy of information keyword: CALL Collocation Collocation error Collocation error correction Collocation error detection Miscollocation ab: Collocations in the sense of idiosyncratic binary lexical co-occurrences are one of the biggest challenges for any language learner. Even advanced learners make collocation mistakes in that they literally translate collocation elements from their native tongue, create new words as collocation elements, choose a wrong subcategorization for one of the elements, etc. Therefore, automatic collocation error detection and correction is increasingly in demand. However, while state-of-the-art models predict, with a reasonable accuracy, whether a given co-occurrence is a valid collocation or not, only few of them manage to suggest appropriate corrections with an acceptable hit rate. Most often, a ranked list of correction options is offered from which the learner has then to choose. This is clearly unsatisfactory. Our proposal focuses on this critical part of the problem in the context of the acquisition of Spanish as second language. For collocation error detection, we use a frequency-based technique. To improve on collocation error correction, we discuss three different metrics with respect to their capability to select the most appropriate correction of miscollocations found in our learner corpus. 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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