A Low-Resourced Peruvian Language Identification Model
| dc.contributor.affiliation | Grupo de Inteligencia Artificial de la Pontificia Universidad Católica del Perú (IA-PUCP) | |
| dc.contributor.affiliation | Pontificia Universidad Católica del Perú. Departamento de Ingeniería | |
| dc.contributor.author | Linares, A.E. | |
| dc.contributor.author | Oncevay, A. | |
| dc.date.accessioned | 2026-03-13T17:00:59Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Due to the linguistic revitalization in Peru´ through the last years, there is a growing interest to reinforce the bilingual education in the country and to increase the research focused in its native languages. From the computer science perspective, one of the first steps to support the languages study is the implementation of an automatic language identification tool using machine learning methods. Therefore, this work focuses in two steps: (1) the building of a digital and annotated corpus for 16 Peruvian native languages extracted from documents in web repositories, and (2) the fit of a supervised learning model for the language identification task using features identified from related studies in the state of the art, such as ngrams. The obtained results were promising (97% in average precision), and it is expected to take advantage of the corpus and the model for more complex tasks in the future | |
| dc.description.sponsorship | Funding: The authors are thankful to J. Rubén Ruiz, bilingual education professor at NOPOKI, for providing access to some private books written in native languages (Universidad Católica Sedes Sapientiae, 2015; Díaz, 2012). Likewise, it is appreciated the collaboration of Dr. Roberto Zariquiey, linguistic professor at PUCP, for allowing the use of his own corpus for the Panoan family (Zariquiey Biondi, 2011). Furthermore, it is acknowledged the support of the “Concejo Nacional de Ciencia, Tecnología e Innovación Tecnológica” (CONCYTEC Perú) under the contract 225-2015-FONDECYT.; Funding text 2: Furthermore, it is acknowledged the support of the “Concejo Nacional de Ciencia, Tecnología e Innovación Tecnológica” (CONCYTEC Perú) under the contract 225-2015-FONDECYT. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14657/206826 | |
| dc.language.iso | eng | |
| dc.publisher | CEUR-WS | |
| dc.relation.conferencename | CEUR Workshop Proceedings | |
| dc.relation.ispartof | urn:issn:1613-0073 | |
| dc.relation.uri | https://ceur-ws.org/Vol-2029/paper3.pdf | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Learning systems | |
| dc.subject | Big data | |
| dc.subject | Education | |
| dc.subject | Information management | |
| dc.subject | Automatic language identification | |
| dc.subject | Bilingual education | |
| dc.subject | Complex task | |
| dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#5.03.00 | |
| dc.title | A Low-Resourced Peruvian Language Identification Model | |
| dc.type | http://purl.org/coar/resource_type/c_5794 | |
| dc.type.other | Comunicación de congreso | |
| dc.type.version | https://vocabularies.coar-repositories.org/version_types/c_970fb48d4fbd8a85/ |