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Report (Bericht) zugänglich unter
URN: urn:nbn:de:bsz:291-scidok-36706

X2MORF : a morphological component based on augmented two-level morphology

Trost, Harald

Quelle: (1991) Kaiserslautern ; Saarbrücken : DFKI, 1991
Dokument 1.pdf (133 KB)

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SWD-Schlagwörter: Künstliche Intelligenz
Institut: DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
DDC-Sachgruppe: Informatik
Dokumentart: Report (Bericht)
Schriftenreihe: Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x]
Bandnummer: 91-04
Sprache: Englisch
Erstellungsjahr: 1991
Publikationsdatum: 28.06.2011
Kurzfassung auf Englisch: 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.
Lizenz: Standard-Veröffentlichungsvertrag

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