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The DOP estimation method is biased and inconsistent
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DOI：10.1162/089120102317341783.png)
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摘要
En 中文
A data-oriented parsing or DOP model for statistical parsing associates fragments of linguistic representations with numerical weights, where these weights are estimated by normalizing the empirical frequency of each fragment in a training corpus (see Bod [1998] and references cited therein). This note observes that this estimation method is biased and inconsistent; that is, the estimated distribution does not in general converge on the true distribution as the size of the training corpus increases.
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5.3
论文数:
837
被引数:
2.7K
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