Researchers in theoretical linguistics, psycholinguistics, cognitive science, and in natural language processing have recently converged on a collective insight: formalizing the syntax of words is central to describing, understanding, and analyzing language. This insight has sparked considerable interest in Tree Adjoining Grammar, a lexically-oriented mathematical formalism that can precisely capture the syntactic properties of natural languages such as English or Korean. This volume combines contributions from a variety of authors who discuss the formalism itself, its use in analyzing linguistic phenomena, and its use in building natural language processing systems.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
This volume addresses the Tree Adjoining Grammar, a lexically-oriented mathematical formalism that can precisely capture the syntactic properties of natural languages such as English or Korean. It combines contributions from a variety of authors who discuss the formalism itself, its use in analyzing linguistic phenomena and its use in building natural language processing systems.
1. Complexity of scrambling; 2. Natural language processing with Schema-TAGS; 3. Non-isomorphic synchronous TAGs; 4. Semantics of pragmatic connectives in TAG; 5; Implications of codeswitching for lexicalized TAG; 6. Adnominal adjectives, code-switching and lexicalized TAG; 7. E-TAG, a lexicalized formalism for text generation; 8. Evolution of the XTAG system; 9. A bottom-up TAG parser; 10. Developing a wide-coverage CCG System.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: HPB-Red, Dallas, TX, U.S.A.
Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_469662885
Quantità: 1 disponibili