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Verb subcategorization frames determine the number and types of the syntactic arguments that verbs select, or subcategorize for. Typically, verbs can be associated with subcategorization frames that specify, for each subcategorized argument, information on the phrases that can realize this argument. These can be noun phrases (in the case of direct objects), prepositional phrases with one or more specific preposition, infinitival verb phrases, clauses introduced by a complementizer, etc. We introduce a technique and an implemented system for automatically acquiring Hebrew verb subcategorization frames from textual corpora. The system generates a large subcategorization lexicon which includes subcategorization frames and frequency information for 3532 verbs. Using this lexicon was shown to improve two tasks: resolving PP-attachment ambiguity, and translating prepositions in an existing statistical machine translation system from Arabic to Hebrew.