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» Empirical Methods for Compound Splitting
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EACL
2003
ACL Anthology
13 years 6 months ago
Empirical Methods for Compound Splitting
Compounded words are a challenge for NLP applications such as machine translation (MT). We introduce methods to learn splitting rules from monolingual and parallel corpora. We eva...
Philipp Koehn, Kevin Knight
CICLING
2008
Springer
13 years 6 months ago
Unsupervised and Knowledge-Free Learning of Compound Splits and Periphrases
Abstract. We present an approach for knowledge-free and unsupervised recognition of compound nouns for languages that use one-wordcompounds such as Germanic and Scandinavian langua...
Florian Holz, Chris Biemann
FINTAL
2006
13 years 8 months ago
Statistical Machine Translation of German Compound Words
Abstract. German compound words pose special problems to statistical machine translation systems: the occurence of each of the components in the training data is not sufficient for...
Maja Popovic, Daniel Stein, Hermann Ney
ISMIS
2003
Springer
13 years 10 months ago
Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes
In this paper we tackle the problem of simplifying tree-based regression models, called model trees, which are characterized by two types of internal nodes, namely regression nodes...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
BMCBI
2008
130views more  BMCBI 2008»
13 years 5 months ago
FAF-Drugs2: Free ADME/tox filtering tool to assist drug discovery and chemical biology projects
Background: Drug discovery and chemical biology are exceedingly complex and demanding enterprises. In recent years there are been increasing awareness about the importance of pred...
David Lagorce, Olivier Sperandio, Hervé Gal...