SECO - SEmantic COmpound Splitter

SECOS is an unsupervised compound splitter that uses a distributional thesaurus for learning how to split compounds.


The software and models for Dutch and German are available under the permissive Apache license (ASL) 2.0 at github.


Martin Riedl, Chris Biemann (2016): Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods, In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2016), San Diego, CA, USA (pdf)

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