Multi-word expressions constitute a sig- nificant portion of the lexicon of every natural language, and handling them cor- rectly is mandatory for various NLP appli- cations. Yet such entities are notoriously hard to define, and are consequently miss- ing from standard lexicons and dictionar- ies. Multi-word expressions exhibit id- iosyncratic behavior on various levels: or- thographic, morphological, syntactic and semantic. In this work we take advan- tage of the morphological and syntactic idiosyncrasy of Hebrew noun compounds and employ it to extract such expressions from text corpora. We show that relying on linguistic information dramatically im- proves the accuracy of compound extrac- tion, reducing over one third of the errors compared with the best baseline.

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