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Nominalization is a highly pro- ductive phenomena in most lan- guages. The process of nominaliza- tion ejects a verb from its syntactic role into a nominal position. The original verb is often replaced by a semantically emptied support verb (e.g., make a proposal). The choice of a support verb for a given nomi- nalization is unpredictable, causing a problem for language learners as well as for natural language pro- cessing systems. We present here a method of discovering support verbs from an untagged corpus via low-level syntactic processing and comparison of arguments attached to verbal forms and potential nom- inalized forms. The result of the process is a list of potential support verbs for the nominalized form of a given predicate.

Corpus-based method for automatic identification of support verbs for nominalizations