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dc.contributor.authorAlfred, R.en
dc.contributor.authorLeong, L. C.en
dc.contributor.authorOn, C. K.en
dc.contributor.authorAnthony, Patriciaen
dc.date.accessioned2016-07-05T02:57:42Z
dc.date.issued2014-06en
dc.identifier.citationAlfred, R., Leong, L. C., On, C. K., & Anthony, P. (2014). Malay named entity recognition based on rule-based approach. International Journal of Machine Learning and Computing, 4(3), 300-306. doi:https://doi.org/10.7763/IJMLC.2014.V4.428en
dc.identifier.urihttps://hdl.handle.net/10182/7055
dc.description.abstractA Named-Entity Recognition (NER) is part of the process in Text Mining and it is a very useful process for information extraction. This NER tool can be used to assist user in identifying and detecting entities such as person, location or organization. However, different languages may have different morphologies and thus require different NER processes. For instance, an English NER process cannot be applied in processing Malay articles due to the different morphology used in different languages. This paper proposes a Rule-Based Named-Entity Recognition algorithm for Malay articles. The proposed Malay NER is designed based on a Malay part-of-speech (POS) tagging features and contextual features that had been implemented to handle Malay articles. Based on the POS results, proper names will be identified or detected as the possible candidates for annotation. Besides that, there are some symbols and conjunctions that will also be considered in the process of identifying named-entity for Malay articles. Several manually constructed dictionaries will be used to handle three named-entities; Person, Location and Organizations. The experimental results show a reasonable output of 89.47% for the F-Measure value. The proposed Malay NER algorithm can be further improved by having more complete dictionaries and refined rules to be used in order to identify the correct Malay entities system.en
dc.format.extent300-306en
dc.languageEnglishen
dc.language.isoenen
dc.publisherIACSIT Pressen
dc.relationThe original publication is available from - IACSIT Press - https://doi.org/10.7763/IJMLC.2014.V4.428en
dc.relation.urihttp://www.ijmlc.org/index.php?m=content&c=index&a=show&catid=45&id=467en
dc.relation.urihttps://doi.org/10.7763/IJMLC.2014.V4.428en
dc.rightsCopyright © 2008-2015. International Journal of Machine Learning and Computing. All rights reserved.en
dc.subjectInformation extractionen
dc.subjectMalay named entity recognitionen
dc.subjectnamed entity recognitionen
dc.subjectrule-baseden
dc.titleMalay named entity recognition based on rule-based approachen
dc.typeJournal Article
lu.contributor.unitLincoln Universityen
lu.contributor.unitFaculty of Environment, Society and Designen
lu.contributor.unitDepartment of Environmental Managementen
lu.contributor.unitResearch Management Officeen
lu.contributor.unit/LU/Research Management Office/2018 PBRF Staff groupen
dc.identifier.doi10.7763/IJMLC.2014.V4.428en
dc.subject.anzsrc08 Information and Computing Sciencesen
dc.relation.isPartOfInternational Journal of Machine Learning and Computingen
pubs.issue3en
pubs.organisational-group/LU
pubs.organisational-group/LU/Faculty of Environment, Society and Design
pubs.organisational-group/LU/Faculty of Environment, Society and Design/DEM
pubs.organisational-group/LU/Research Management Office
pubs.organisational-group/LU/Research Management Office/2018 PBRF Staff group
pubs.publication-statusPublisheden
pubs.volume4en
dc.identifier.eissn2010-3700en
lu.identifier.orcid0000-0002-4991-3340


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