Publicação
Portuguese Native Language Identification
| dc.contributor.author | Malmasi, Shervin | |
| dc.contributor.author | del Río, Iria | |
| dc.contributor.author | Zampieri, Marcos | |
| dc.date.accessioned | 2019-01-18T10:18:30Z | |
| dc.date.available | 2019-01-18T10:18:30Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | This study presents the first Native Language Identification (NLI) study for L2 Portuguese.We used a sub-set of the NLI-PT dataset, containing texts written by speakers of five different native languages: Chinese, English, German, Italian, and Spanish.We explore the linguistic annotations available in NLI-PT to extract a range of (morpho-)syntactic features and apply NLI classification methods to predict the native language of the authors. The best results were obtained using an ensemble combination of the features, achieving 54:1% accuracy. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Shervin Malmasi, Iria del Río and Marcos Zampieri. 2018. Portuguese Native Language Identification. Proceedings of International Conference on the Computational Processing of Portuguese (PROPOR). | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10451/36514 | |
| dc.language.iso | eng | pt_PT |
| dc.subject | Native language identification | pt_PT |
| dc.subject | Learner corpus | pt_PT |
| dc.subject | Portuguese | pt_PT |
| dc.title | Portuguese Native Language Identification | pt_PT |
| dc.type | book part | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Canela, Brasil | pt_PT |
| oaire.citation.title | International Conference on the Computational Processing of Portuguese (PROPOR) | pt_PT |
| person.familyName | del Río Gayo | |
| person.givenName | Iria | |
| person.identifier.ciencia-id | B01F-ECC3-7AAB | |
| person.identifier.orcid | 0000-0002-4187-6485 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | bookPart | pt_PT |
| relation.isAuthorOfPublication | 6248a8c6-c073-47eb-a6f0-30e39bfa5c86 | |
| relation.isAuthorOfPublication.latestForDiscovery | 6248a8c6-c073-47eb-a6f0-30e39bfa5c86 |