Developing A Dynamic WordNet for Under-Resourced Languages.
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| Title: | Developing A Dynamic WordNet for Under-Resourced Languages. |
|---|---|
| Authors: | OBARE, STEPHEN1 smobareo@gmail.com, ADE-IBIJOLA, ABEJIDE1, OGADA, KENNEDY1 |
| Source: | Journal of Information Science & Engineering. Sep2025, Vol. 41 Issue 5, p1263-1288. 26p. |
| Subjects: | African languages, Natural numbers, Age groups, New words, Semantics |
| Abstract: | The development of WordNets has contributed to a number of tasks in Natural Language Processing (NLP). While there is growing interest in building WordNets for popular languages, there are no major efforts for African languages which are evolving and commonly used by younger generation in social media platforms. Even where there are claims of such efforts, no publicly accessible work exist that has comprehensively addressed the challenge of creating and updating WordNets as new words are coined and meaning of words change. We present a novel technique implemented in a software tool called "Sense-Mapper" that maps Princeton WordNet 3.0 (PWN) synsets to concepts extracted from a lexical resource, detects unknown words from social media platforms, assigns senses to the unknown words and identify optimal location in the WordNet to insert the new words to cater for the evolving vocabulary. We assess the performance and effectiveness of Sense-Mapper using lexical resources and data generated from social media platforms in Kenya and show that the proposed tool achieved an accuracy of 87.34% in mapping senses between lexical resources and 88.75% in updating our WordNet. Sense-Mapper is expected to find application in a number of NLP tasks that are require assigning senses to previously unseen or rare words and updating lexical resources. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Information Science & Engineering is the property of Institute of Information Science, Academia Sinica and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 188161481 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Developing A Dynamic WordNet for Under-Resourced Languages. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22OBARE%2C+STEPHEN%22">OBARE, STEPHEN</searchLink><relatesTo>1</relatesTo><i> smobareo@gmail.com</i><br /><searchLink fieldCode="AR" term="%22ADE-IBIJOLA%2C+ABEJIDE%22">ADE-IBIJOLA, ABEJIDE</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22OGADA%2C+KENNEDY%22">OGADA, KENNEDY</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Information+Science+%26+Engineering%22">Journal of Information Science & Engineering</searchLink>. Sep2025, Vol. 41 Issue 5, p1263-1288. 26p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22African+languages%22">African languages</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+numbers%22">Natural numbers</searchLink><br /><searchLink fieldCode="DE" term="%22Age+groups%22">Age groups</searchLink><br /><searchLink fieldCode="DE" term="%22New+words%22">New words</searchLink><br /><searchLink fieldCode="DE" term="%22Semantics%22">Semantics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The development of WordNets has contributed to a number of tasks in Natural Language Processing (NLP). While there is growing interest in building WordNets for popular languages, there are no major efforts for African languages which are evolving and commonly used by younger generation in social media platforms. Even where there are claims of such efforts, no publicly accessible work exist that has comprehensively addressed the challenge of creating and updating WordNets as new words are coined and meaning of words change. We present a novel technique implemented in a software tool called "Sense-Mapper" that maps Princeton WordNet 3.0 (PWN) synsets to concepts extracted from a lexical resource, detects unknown words from social media platforms, assigns senses to the unknown words and identify optimal location in the WordNet to insert the new words to cater for the evolving vocabulary. We assess the performance and effectiveness of Sense-Mapper using lexical resources and data generated from social media platforms in Kenya and show that the proposed tool achieved an accuracy of 87.34% in mapping senses between lexical resources and 88.75% in updating our WordNet. Sense-Mapper is expected to find application in a number of NLP tasks that are require assigning senses to previously unseen or rare words and updating lexical resources. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Information Science & Engineering is the property of Institute of Information Science, Academia Sinica and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.6688/JISE.202509_41(5).0012 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 1263 Subjects: – SubjectFull: African languages Type: general – SubjectFull: Natural numbers Type: general – SubjectFull: Age groups Type: general – SubjectFull: New words Type: general – SubjectFull: Semantics Type: general Titles: – TitleFull: Developing A Dynamic WordNet for Under-Resourced Languages. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: OBARE, STEPHEN – PersonEntity: Name: NameFull: ADE-IBIJOLA, ABEJIDE – PersonEntity: Name: NameFull: OGADA, KENNEDY IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10162364 Numbering: – Type: volume Value: 41 – Type: issue Value: 5 Titles: – TitleFull: Journal of Information Science & Engineering Type: main |
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