We test the consistency of these features in a pilot study for Turkish and show that; 1) Case markers are related with semantic roles and 2)Morphemes that change the valency of the verb follow a predictable pattern.
📌 3 Key Takeaways
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Objective & Hypothesis:Morphological units carry vast amount of semantic information for languages with rich inflectional and derivational morphology.
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Key Findings & Data:In this paper we show how morphosemantic information available for morphologically rich languages can be used to reduce manual effort in creating semantic resources like PropBank and VerbNet; to increase performance of word sense disambiguation, semantic role labeling and related tasks.
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Conclusion & Impact:We test the consistency of these features in a pilot study for Turkish and show that; 1) Case markers are related with semantic roles and 2)Morphemes that change the valency of the verb follow a predictable pattern.
🔬Design:Makale
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
Morphological units carry vast amount of semantic information for languages with rich inflectional and derivational morphology. In this paper we show how morphosemantic information available for morphologically rich languages can be used to reduce manual effort in creating semantic resources like PropBank and VerbNet; to increase performance of word sense disambiguation, semantic role labeling and related tasks. We test the consistency of these features in a pilot study for Turkish and show that; 1) Case markers are related with semantic roles and 2)Morphemes that change the valency of the verb follow a predictable pattern.
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Cite This Article
Şahin, G. G., Adalı, E. (2014). Using Morphosemantic Information in Construction of a Pilot Lexical Semantic Resource for Turkish. Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi, Cilt: 7 Sayı: 2, 11–16. https://ajindex.com/articles/1561332
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