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Summary: Guessing Morphological Classes of Unknown German Nouns
Preslav Nakov1
, Yury Bonev2
, Galia Angelova3
, Evelyn Cius4
, Walther von Hahn4
(1) University of California at Berkeley, EECS, Berkeley CA 94720, USA
(2) Sofia University "St. Kl. Ohridski" and Team Vision Bulgaria
(3) Central Laboratory for Parallel Processing, Bulgarian Academy of Sciences,
25 Acad. G. Bonchev Str., 1113 Sofia, Bulgaria
(4) University of Hamburg, CS Dept., Vogt-Koelln Str.-30, 22527 Hamburg, Germany
nakov@eecs.berkeley.edu, y.bonev@team-vision.bg, galia@lml.bas.bg,
evelyn.gius@imail.de, vhahn@informatik.uni-hamburg.de
Abstract
A system for recognition and morphological classifi-
cation of unknown German words is described. Given
raw texts it outputs a list of the unknown nouns
together with hypotheses about their possible stems
and morphological class(es). The system exploits both
global and local information as well as morphological
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