Bitte benutzen Sie diese Referenz, um auf diese Ressource zu verweisen: doi:10.22028/D291-24909
Titel: X2MORF : a morphological component based on augmented two-level morphology
Verfasser: Trost, Harald
Sprache: Englisch
Erscheinungsjahr: 1991
Quelle: Kaiserslautern ; Saarbrücken : DFKI, 1991
SWD-Schlagwörter: Künstliche Intelligenz
DDC-Sachgruppe: 004 Informatik
Dokumentart : Report (Bericht)
Kurzfassung: In this paper I describe X2MORF, a language-independent morphological component for the recognition and generation of word forms based on a lexicon of morphs. The approach is an extension of two-level morphology. The extensions are motivated by linguistic examples which call into question an underlying assumption of standard two-level morphology, namely the independence of morphophonology and morphology as exemplified by two-level rules and continuation classes. Accordingly, I propose a model which allows for interaction between the two parts. Instead of using continuation classes, word formation is described in a feature-based unification grammar. Two-level rules are provided with a morphological context in the form of feature structures. Information contained in the lexicon and the word formation grammar guides the application of two-level rules by matching the morphological context against the morphs. I present an efficient implementation of this model where rules are compiled into automata (as in the standard model) and where processing of the feature-based grammar is enhanced using an automaton derived from that grammar as a filter.
Link zu diesem Datensatz: urn:nbn:de:bsz:291-scidok-36706
hdl:20.500.11880/24965
http://dx.doi.org/10.22028/D291-24909
Schriftenreihe: Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x]
Band: 91-04
SciDok-Publikation: 28-Jun-2011
Fakultät: Sonstige Einrichtungen
Fachrichtung: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Fakultät / Institution:SE - Sonstige Einrichtungen

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
RR_91_04.pdf132,57 kBAdobe PDFÖffnen/Anzeigen


Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt.