Introducing PersPred, a Syntactic and Semantic Database for Persian Complex Predicates

نویسندگان

  • Pollet Samvelian
  • Pegah Faghiri
چکیده

This paper introduces PersPred, the first manually elaborated syntactic and semantic database for Persian Complex Predicates (CPs). Beside their theoretical interest, Persian CPs constitute an important challenge in Persian lexicography and for NLP. The first delivery, PersPred 11, contains 700 CPs, for which 22 fields of lexical, syntactic and semantic information are encoded. The semantic classification PersPred provides allows to account for the productivity of these combinations in a way which does justice to their compositionality without overlooking their idiomaticity.

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تاریخ انتشار 2013