Concept Set Modeling Approach To Conceptualise Multilingual Digital Linguistic Database

Concept Set Modeling Approach To Conceptualise Multilingual Digital Linguistic Database

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Abstract

In this paper, we report the work on developing a multilingual digital linguistic database that aims to provide overall information a linguistic item carries in a language, and its cross-linguistic morphemic equivalent in other languages. It is conceptualised as a model of human knowledge of a language, and its description and architecture is an effort towards modeling such linguistic knowledge. From computational and programming aspects it throws an enormous challenge as it has many-to-many relations across languages, scripts, orthography, fields and entries. To accomplish such linkages among languages and between different types and kinds of information related to the linguistic item, an idea of a ‘Concept Set Model’ is discussed.

References

6 Cites in Article
  1. N Rajesha,M Ramya,Samar Sinha (2010). Lexipedia: A Multilingual Digital Linguistic Database.
  2. A Ivan,Derhanski (2009). Bi-and Multilingual Electronic Dictionaires: Their Design and Application to Low-and Middle-Density Languages, Language engineering for lesser-studied languages.
  3. Igor Boguslavsky,Jesús Cardeñosa,Carolina Gallardo (2009). A Novel Approach to Creating Disambiguated Multilingual Dictionaries.
  4. Kavi Narayana,Murthy (2006). Natural Language Processing : An Information Access Perspective.
  5. Samar Sinha (2011). A causerie on churning of speech sounds).
  6. Ammar Merhbi (2009). Corpus Linguistics, Concordance and Data-Driven Learning: An innovative Language Teaching Approach!.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ahmad Hweishel AL-Farjat, Ibrahim Mahmoud Ibrahim AlTurani, Marwan Hweishel Al-Farajat, tareq_alzayyat. 1970. "Concept Set Modeling Approach To Conceptualise Multilingual Digital Linguistic Database". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 20).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
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GJCST Classification H.2.1
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Language
English
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Concept Set Modeling Approach To Conceptualise Multilingual Digital Linguistic Database

Ahmad AL-Farjat
Ahmad AL-Farjat AlBalqa Applied University, Jordan, Aqaba
Ibrahim AlTurani
Ibrahim AlTurani
Marwan Al-Farajat
Marwan Al-Farajat