VORTRAG ********* Oesterreichisches Forschungsinstitut fuer Artificial Intelligence(OFAI) Freyung 6/6, A-1010 Wien Tel.: +43-1-53361120, Fax: +43-1-5336112-77, Email: sec@ofai.at ------------------------------------------------------------------------- Presenter: Prof. Joseph Emonds http://sils.shoin.ac.jp/~jeemonds/ "The Grammatical Lexicon: the fundamental tool for constructing convergent numerations." Short summary: Current versions of Chomskyan syntax take for granted that syntactic derivations depend on prior specification of complete numerations of lexical items, which then combine according to the principles of syntax. However, competence models have provided no ways to choose such numerations; they are either chosen randomly or based on the intuition of (ultimately native) speakers. In neither case is there any scientific characterization of these objects, and so syntactic derivations lose their status as a scientific model. This essay claims that numerations in a plausible formal model of language can be conceived as random (or, formally equivalently, pragmatically determined) only if syntactic derivations can supplement them in a highly constrained way: by adding to them items from a special lexical subcomponent of purely grammatical or closed class items. Items from this subcomponent, dubbed the Syntacticon in some recent work, seem to have precisely the grammatical properties (insertion into already processed structures, possibly null phonology) needed to make the otherwise randomly selected numerations converge to well formed Logical Forms. In this talk, I will be relating the idea of a numeration of lexical items to a corresponding syntactic derivation. An initial definition of a convergent numeration (throughout, a c-numeration) is a set of all and only the lexical items that appear in a well-formed syntactic structure. ********* Zeit: Mittwoch, 30. Jänner 2008, 18:30 Uhr pktl. Ort: Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, OFAI Freyung 6, Stiege 6, 1010 Wien. OESTERREICHISCHES FORSCHUNGSINSTITUT FUER ARTIFICIAL INTELLIGENCE Univ.-Prof. Ing. Dr. Robert Trappl ********* Falls Sie keine weiteren Zusendungen wuenschen, schicken Sie uns bitte eine Antwort-Email mit dem Subject "unsubscribe" an sec@ofai.at.