本文整理汇总了Java中edu.stanford.nlp.io.NumberRangesFileFilter类的典型用法代码示例。如果您正苦于以下问题：Java NumberRangesFileFilter类的具体用法？Java NumberRangesFileFilter怎么用？Java NumberRangesFileFilter使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
NumberRangesFileFilter类属于edu.stanford.nlp.io包，在下文中一共展示了NumberRangesFileFilter类的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: main
import edu.stanford.nlp.io.NumberRangesFileFilter; //导入依赖的package包/类
/**
* For testing: loads a treebank and prints the trees.
*/
public static void main(String[] args) {
TreebankLangParserParams tlpp = new ChineseTreebankParserParams();
System.out.println("Default encoding is: " +
tlpp.diskTreebank().encoding());
if (args.length < 2) {
printlnErr("Usage: edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams treesPath fileRange");
} else {
Treebank m = tlpp.diskTreebank();
m.loadPath(args[0], new NumberRangesFileFilter(args[1], false));
for (Tree t : m ) {
t.pennPrint(tlpp.pw());
}
System.out.println("There were " + m.size() + " trees.");
}
}
示例2: TaggedFileRecord
import edu.stanford.nlp.io.NumberRangesFileFilter; //导入依赖的package包/类
private TaggedFileRecord(String file, Format format,
String encoding, String tagSeparator,
TreeTransformer treeTransformer,
TreeNormalizer treeNormalizer,
NumberRangesFileFilter treeRange,
Filter<Tree> treeFilter,
Integer wordColumn, Integer tagColumn) {
this.file = file;
this.format = format;
this.encoding = encoding;
this.tagSeparator = tagSeparator;
this.treeTransformer = treeTransformer;
this.treeNormalizer = treeNormalizer;
this.treeRange = treeRange;
this.treeFilter = treeFilter;
this.wordColumn = wordColumn;
this.tagColumn = tagColumn;
}
示例3: TaggedFileRecord
import edu.stanford.nlp.io.NumberRangesFileFilter; //导入依赖的package包/类
private TaggedFileRecord(String file, Format format,
String encoding, String tagSeparator,
TreeTransformer treeTransformer,
TreeNormalizer treeNormalizer,
NumberRangesFileFilter treeRange,
Filter<Tree> treeFilter,
Integer wordColumn, Integer tagColumn) {
this.file = file;
this.format = format;
this.encoding = encoding;
this.tagSeparator = tagSeparator;
this.treeTransformer = treeTransformer;
this.treeNormalizer = treeNormalizer;
this.treeRange = treeRange;
this.treeFilter = treeFilter;
this.wordColumn = wordColumn;
this.tagColumn = tagColumn;
}
示例4: main
import edu.stanford.nlp.io.NumberRangesFileFilter; //导入依赖的package包/类
/**
* For testing.
*/
public static void main(String[] args) {
if (args.length < 2) {
System.err.println("usage: Relation treebank numberRanges");
return;
}
FileFilter testFilt = new NumberRangesFileFilter(args[1], true);
TreeReaderFactory trf = new PennTreeReaderFactory(new NPTmpRetainingTreeNormalizer());
DiskTreebank testTreebank = new DiskTreebank(trf);
testTreebank.loadPath(new File(args[0]), testFilt);
HeadFinder hf = new ModCollinsHeadFinder();
List<Relation> relations = new ArrayList<Relation>();
relations.addAll(Arrays.asList(SIMPLE_RELATIONS));
relations.add(new HasIthChild(2));
relations.add(new HasIthChild(-1));
relations.add(new IthChildOf(1));
relations.add(new IthChildOf(-2));
relations.add(new HeadedBy(hf));
relations.add(new Heads(hf));
relations.add(new ImmediatelyHeadedBy(hf));
relations.add(new ImmediatelyHeads(hf));
relations.add(new UnbrokenCategoryDominates("NP"));
relations.add(new UnbrokenCategoryDominates("VP"));
relations.add(new UnbrokenCategoryIsDominatedBy("NP"));
relations.add(new UnbrokenCategoryIsDominatedBy("VP"));
int trees = 0, subtrees = 0;
for (Tree root : testTreebank) {
for (Tree tree : root.subTrees()) {
boolean error = false;
for (Relation relation : relations) {
error = error || relation.testRelation(tree, root);
}
if (error) {
System.err.println("Tree: ");
root.pennPrint(System.err);
System.err.println();
System.err.println("SubTree: ");
tree.pennPrint(System.err);
System.err.println();
System.exit(0);
}
subtrees++;
}
trees++;
}
System.out.println("Tested all relations on " + subtrees
+ " subtrees in " + trees + " trees with no errors.");
}