2026-07-23T20:59:20Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:7952 2024-03-06T10:30:06Z ddc:004 open_access

A Method for Proper Noun Extraction in Kurdish Hassani, Hossein Proper Noun Recognition Named Entity Recognition Information Extraction Natural Language Processing Kurdish This paper suggests a method for proper noun identification in Kurdish texts. Kurdish proper nouns are not capitalized and they also assume other part-of-speech roles, which leads to a broad ambiguity that should be addressed in Kurdish proper noun recognition applications. Kurdish is also among less-resourced languages. We developed an application based on an architecture which includes a number of name lists, a set of rules, and a set of processes that recognizes Kurdish person names. This can help the study of Information Retrieval (IR) in Kurdish to advance and can also be used in Kurdish machine translation. We conducted several experiments which showed that the precision of the method is more than 95%, the recall is between 40% to 80%, and the F-measure is close to 60% to more than 80%. The reason for the low recall precision was because our name lists were not exhaustive enough to cover the vast majority of the Kurdish names. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Hossein Hassani 2017 Is Part Of OASIcs, Volume 56, 6th Symposium on Languages, Applications and Technologies (SLATE 2017) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.SLATE.2017.19 urn:nbn:de:0030-drops-79525 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2017.19 eng https://creativecommons.org/licenses/by/3.0/legalcode