Publicación:
A Low-Resourced Peruvian Language Identification Model

dc.contributor.author Linares A.E. es_PE
dc.contributor.author Oncevay-Marcos A. es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
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 Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.scopus 2-s2.0-85040614941
dc.identifier.uri https://hdl.handle.net/20.500.12390/488
dc.language.iso eng
dc.publisher CEUR-WS
dc.relation.ispartof CEUR Workshop Proceedings
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Learning systems
dc.subject Big data es_PE
dc.subject Education es_PE
dc.subject Information management es_PE
dc.subject Automatic language identification es_PE
dc.subject Bilingual education es_PE
dc.subject Complex task es_PE
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#6.02.00
dc.title A Low-Resourced Peruvian Language Identification Model
dc.type info:eu-repo/semantics/conferenceObject
dspace.entity.type Publication
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