TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Steiner, Petra
A1  - Ruppenhofer, Josef
T1  - Growing trees from morphs: Towards data-driven morphological parsing
T2  - Proceedings of the Int. Conference of the German Society for Computational Linguistics and Language Technology, Sep 30–Oct 2 2015
N2  - We present a quantitative approach to disambiguating flat morphological analyses and producing more deeply structured analyses. Based on existing morphological segmentations, possible combinations of resulting word trees for the next level are filtered first by criteria of linguistic plausibility and then by weighting procedures based on the geometric mean. The frequencies for weighting are derived from three different sources (counts of morphs in a lexicon, counts of largest constituents in a lexicon, counts of token frequencies in a corpus) and can be used either to find the best analysis on the level of morphs or on the next higher constituent level. The evaluation shows that for this task corpus-based frequency counts are slightly superior to counts of lexical data.
KW  - word trees
KW  - morphological analyses
KW  - Morphemanalyse
KW  - Segmentierung
KW  - Worthäufigkeit
KW  - Computerlinguistik
KW  - Deutsch
Y1  - 2015
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-52323
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-52323
UR  - http://www.gscl.org/proceedings/2015/
SP  - 49
EP  - 57
PB  - Gesellschaft für Sprachtechnologie and Computerlinguistik
ER  -