Abstract
ConceptNet is a large-scale network of concepts and relationships, based on various common sense knowledge bases. Turkish is a language that lacks similar resources for processing texts and extracting meaning. This study discusses various methods to create a Turkish ConceptNet using translational techniques based on English ConceptNet and explains the results herewith obtained. Multiple models were tested, using different knowledge sources and tools including WordNet, Wikipedia, and Google Translate. Results obtained from each model and the approaches to improve these results are discussed, while also explaining details, assumptions, and drawbacks relevant to each relation.
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Özçelik, A.S., Güngör, T. (2020). Generating a Concept Relation Network for Turkish Based on ConceptNet Using Translational Methods. In: Karpov, A., Potapova, R. (eds) Speech and Computer. SPECOM 2020. Lecture Notes in Computer Science(), vol 12335. Springer, Cham. https://doi.org/10.1007/978-3-030-60276-5_36
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DOI: https://doi.org/10.1007/978-3-030-60276-5_36
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