我怎样才能培养NLTK整个宾州树库语料？

How can I train NLTK on the entire Penn Treebank corpus?

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提出了一种从宾州中文语料库中自动提取词汇化树邻接文法(LTAG)的算法。

An algorithm of the extracting Lexicalized Tree Adjoining Grammar (LTAG) from Penn Chinese corpus was presented.

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本文以宾州中文树库为实验语料，考查了不同规模的标注数据对模型性能的影响，实验结果表明，本文提出的无监督词性标注方法提高了中文词性标注的性能。

Experiments on Chinese TreeBank from different training set size are made. It shows that our approach improves the accuracy of POS tagging over the four training sets with different sizes.

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