StartseiteGruppenForumMehrZeitgeist
Web-Site durchsuchen
Diese Seite verwendet Cookies für unsere Dienste, zur Verbesserung unserer Leistungen, für Analytik und (falls Sie nicht eingeloggt sind) für Werbung. Indem Sie LibraryThing nutzen, erklären Sie dass Sie unsere Nutzungsbedingungen und Datenschutzrichtlinie gelesen und verstanden haben. Die Nutzung unserer Webseite und Dienste unterliegt diesen Richtlinien und Geschäftsbedingungen.

Ergebnisse von Google Books

Auf ein Miniaturbild klicken, um zu Google Books zu gelangen.

Lädt ...

The Acquisition of Syntactic Knowledge (Artificial Intelligence)

von Robert Berwick

MitgliederRezensionenBeliebtheitDurchschnittliche BewertungDiskussionen
19Keine1,141,637 (2.5)Keine
"This landmark work in computational linguistics is of great importance both theoretically and practically because it shows that much of English grammar can be learned by a simple program. The Acquisition of Syntactic Knowledge investigates the central questions of human and machine cognition: How do people learn language? How can we get a machine to learn language? It first presents an explicit computational model of language acquisition which can actually learn rules of English syntax given a sequence of grammatical, but otherwise unprepared, sentences. It shows that natural languages are designed to be easily learned and easily processed-an exciting breakthrough from the point of view of artificial intelligence and the design of expert systems because it shows how extensive knowledge might be acquired automatically, without outside intervention. Computationally, the book demonstrates how constraints that may be reasonably assumed to aid sentence processing also aid language acquisition. Chapters in the book's second part apply computational methods to the general problem of developmental growth, particularly the thorny problem of the interaction between innate genetic endowment and environmental input, with the intent of uncovering the constraints on the acquisition of syntactic knowledge. A number of "mini-theories" of learning are incorporated in this study of syntax with results that should appeal to a wide range of scholarly interests. These include how lexical categories, phonological rule systems, and phrase structure rules are learned; the role of semantic-syntactic interaction in language acquisition; how a "parameter setting" model may be formalized as a learning procedure; how multiple constraints (from syntax, thematic knowledge, or phrase structure) interact to aid acquisition; how transformational-type rules may be learned; and, the role of lexical ambiguity in language acquisition. Robert Berwick is an assistant professor in the Department of Electrical Engineering and Computer Science at MIT. The Acquisition of Syntactic Knowledge is sixteenth in the Artificial Intelligence Series, edited by Patrick Winston and Michael Brady."… (mehr)
Keine
Lädt ...

Melde dich bei LibraryThing an um herauszufinden, ob du dieses Buch mögen würdest.

Keine aktuelle Diskussion zu diesem Buch.

Keine Rezensionen
keine Rezensionen | Rezension hinzufügen
Du musst dich einloggen, um "Wissenswertes" zu bearbeiten.
Weitere Hilfe gibt es auf der "Wissenswertes"-Hilfe-Seite.
Gebräuchlichster Titel
Originaltitel
Alternative Titel
Ursprüngliches Erscheinungsdatum
Figuren/Charaktere
Wichtige Schauplätze
Wichtige Ereignisse
Zugehörige Filme
Epigraph (Motto/Zitat)
Widmung
Erste Worte
Zitate
Letzte Worte
Hinweis zur Identitätsklärung
Verlagslektoren
Werbezitate von
Originalsprache
Anerkannter DDC/MDS
Anerkannter LCC

Literaturhinweise zu diesem Werk aus externen Quellen.

Wikipedia auf Englisch

Keine

"This landmark work in computational linguistics is of great importance both theoretically and practically because it shows that much of English grammar can be learned by a simple program. The Acquisition of Syntactic Knowledge investigates the central questions of human and machine cognition: How do people learn language? How can we get a machine to learn language? It first presents an explicit computational model of language acquisition which can actually learn rules of English syntax given a sequence of grammatical, but otherwise unprepared, sentences. It shows that natural languages are designed to be easily learned and easily processed-an exciting breakthrough from the point of view of artificial intelligence and the design of expert systems because it shows how extensive knowledge might be acquired automatically, without outside intervention. Computationally, the book demonstrates how constraints that may be reasonably assumed to aid sentence processing also aid language acquisition. Chapters in the book's second part apply computational methods to the general problem of developmental growth, particularly the thorny problem of the interaction between innate genetic endowment and environmental input, with the intent of uncovering the constraints on the acquisition of syntactic knowledge. A number of "mini-theories" of learning are incorporated in this study of syntax with results that should appeal to a wide range of scholarly interests. These include how lexical categories, phonological rule systems, and phrase structure rules are learned; the role of semantic-syntactic interaction in language acquisition; how a "parameter setting" model may be formalized as a learning procedure; how multiple constraints (from syntax, thematic knowledge, or phrase structure) interact to aid acquisition; how transformational-type rules may be learned; and, the role of lexical ambiguity in language acquisition. Robert Berwick is an assistant professor in the Department of Electrical Engineering and Computer Science at MIT. The Acquisition of Syntactic Knowledge is sixteenth in the Artificial Intelligence Series, edited by Patrick Winston and Michael Brady."

Keine Bibliotheksbeschreibungen gefunden.

Buchbeschreibung
Zusammenfassung in Haiku-Form

Aktuelle Diskussionen

Keine

Beliebte Umschlagbilder

Gespeicherte Links

Bewertung

Durchschnitt: (2.5)
0.5
1
1.5
2 1
2.5
3 1
3.5
4
4.5
5

Bist das du?

Werde ein LibraryThing-Autor.

 

Über uns | Kontakt/Impressum | LibraryThing.com | Datenschutz/Nutzungsbedingungen | Hilfe/FAQs | Blog | LT-Shop | APIs | TinyCat | Nachlassbibliotheken | Vorab-Rezensenten | Wissenswertes | 204,486,766 Bücher! | Menüleiste: Immer sichtbar