Stop words in Khoekhoe.
Stop word lists are useful resources that allow for the filtering of words in texts that typically do not carry (much) content. Filtering stop words can improve the efficiency and accuracy of data processing. Stop words are typically short and occur very frequently in texts. Stop word lists are lang...
| Published in: | Journal of the Digital Humanities Association of Southern Africa (DHASA) Vol. 6; no. 2; pp. 1 - 13 |
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| Main Authors: | , |
| Format: | Article |
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Digital Humanities Association of Southern Africa (DHASA)
2025
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=191564083&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 191564083 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: N79T jtl: Journal of the Digital Humanities Association of Southern Africa (DHASA) maglogo: N pubinfo: dt: 2025 vid: 6 iid: 2 pid: 74161 pub: Digital Humanities Association of Southern Africa (DHASA) artinfo: ui: 191564083 ppf: 1 ppct: 12 formats: tig: atl: Stop words in Khoekhoe. aug: au: van Zaanen, Menno Witzlack-Makarevich, Alena affil: South African Centre for Digital Language Resources North-West University Potchefstroom, South Africa. University of Bremen Bremen, Germany. su: Word frequency Low-resource languages Text processing (Computer science) Language & languages Linguistic typology Computational linguistics Nouns sug: subj: Word frequency Low-resource languages Text processing (Computer science) Language & languages Linguistic typology Computational linguistics Nouns ab: Stop word lists are useful resources that allow for the filtering of words in texts that typically do not carry (much) content. Filtering stop words can improve the efficiency and accuracy of data processing. Stop words are typically short and occur very frequently in texts. Stop word lists are language dependent and many low-resource languages currently do not have (accurate) stop word lists. In this article, we look at how we can create, based on word frequency, a stop word list for Khoekhoe, which is a low-resource language spoken in Southern Africa. Given that stop words do not carry much content, they can be expected to occur consistently across different texts. We compare lists of most frequent words between texts in different genres and which words feature in these lists consistently. We look at the overlap of frequent words in English texts and compare these to a known English stop word list as well, and compare the results with the overlap of frequent words in Khoekhoe texts. The results show that there is a high overlap between genres for English, but the overlap between the Khoekhoe genres is lower. This may be due to a different typological profile of Khoekhoe. This means that creating a stop word list for Khoekhoe is more complicated and most likely requires other techniques to produce a useful stop word list. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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