Metric details for natural-language spatial relations
ACM Transactions on Information Systems (TOIS)
Qualitative Representation of Spatial Knowledge
Qualitative Representation of Spatial Knowledge
An account for compound prepositions in Farsi
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
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Recent research in cognitive linguistics has shown that a good deal of systematicity is involved in semantic of prepositions, once the many meanings of a single preposition are treated as motivated categories. The aim of this research is to apply a cognitive linguistics analysis for the semantics of a preposition in Farsi. The study takes Tyler and Evans' [1] approach to polysemy as a means for developing the semantic network of Farsi preposition be with the central meaning similar to English to. For this purpose a large amount of corpus data were analyzed and the semantics of the preposition were studied. The results of the analysis showed that Tyler & Evanss' Principled polysemy model can be successfully applied to the Farsi preposition be. The analysis sheds light on the semantics of this preposition and highlights the potential ability of this model for the systematic account of prepositions in languages other than English.