«Traditionally, unification grammars are hand-coded. This is extremely time consuming, expensive and very difficult to scale. [...] we have developed a new method for automatically extracting wide-coverage probabilistic unification (LFG) grammars from treebank resources. To achieve this, we first automatically annotate the treebank (such as Penn-II) with feature-structure information (LFG f-structures, approximating to basic predicate-argument structure). From the f-structure annotated treebank, we then automatically extract wide-coverage, probabilistic LFG approximations to parse new text»
M. Marting, und K. Unhammer. Proceedings of the 9th SaLTMiL Workshop on “Free/Open-Source Language Resources for the Machine Translation of Less-Resourced Languages”, LREC2014, Seite 19--24. (2014)
J. Pinto, R. Corso, A. Guilherme, S. Pinho, und M. de Oliveira Nóbrega. Journal of Voice, 18 (1):
90--96(März 2004)patient with bilateral III degree Reinke's edema and normal neurological examinations that started presenting characteristics of the German dialect following a larynx microsurgery.
L. Wiechetek, K. Unhammer, und S. Moshagen. Workshop on the Use of Computational Methods in the Study of Endangered Languages, 1, Seite 46. ComputEL, (2019)