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This paper presents a probabilistic model of English grammar that is based upon "grammatical bigrams", i.e., syntactic relationships between pairs of words. Because of its simplicity, the grammatical bigram model admits cubic-time parsing and unsupervised learning algorithms, which are described in detail.

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