本文整理汇总了Java中edu.stanford.nlp.parser.lexparser.TreebankLangParserParams.setInputEncoding方法的典型用法代码示例。如果您正苦于以下问题：Java TreebankLangParserParams.setInputEncoding方法的具体用法？Java TreebankLangParserParams.setInputEncoding怎么用？Java TreebankLangParserParams.setInputEncoding使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类edu.stanford.nlp.parser.lexparser.TreebankLangParserParams的用法示例。
在下文中一共展示了TreebankLangParserParams.setInputEncoding方法的6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: IncrementalSemanticsPerformance
import edu.stanford.nlp.parser.lexparser.TreebankLangParserParams; //导入方法依赖的package包/类
public IncrementalSemanticsPerformance()
{
predResultMap = new TreeMap<Integer, EvalResult>();
predWithSenseResultMap = new TreeMap<Integer, EvalResult>();
argWordResultMap = new TreeMap<Integer, EvalResult>(); // Unlabelled Argument score (UAS)
argRoleResultMap = new TreeMap<Integer, EvalResult>();
argPredWordResultMap = new TreeMap<Integer, EvalResult>(); // Unlabelled Prediction score (UPS)
incompleteTripleMap = new TreeMap<Integer, EvalResult>(); // Unlabelled Incomplete score (UIS)
srlResultMap = new TreeMap<Integer, EvalResult>(); // Combined Incremental SRL (CIS) score
predResult = new EvalResult();
argsResult = new EvalResult();
srlResult = new EvalResult();
evalbF1Map = new TreeMap<Integer, Double>();
evalbNumExamplesMap = new HashMap<Integer, Double>();
fullSentEvalb = new EvalbImpl("Evalb LP/LR", true);
partialEvalb = new EvalbImpl("Evalb LP/LR", true);
TreebankLangParserParams tlpp = Languages.getLanguageParams(Languages.Language.English);
tlpp.setInputEncoding("UTF-8");
treeCollinizer = tlpp.collinizer();
}
示例2: SemanticsPerformance
import edu.stanford.nlp.parser.lexparser.TreebankLangParserParams; //导入方法依赖的package包/类
public SemanticsPerformance(Indexer<String> roleIndexer, Map<Integer, Integer> roleFreqs)
{
evalb = new EvalbImpl("Evalb LP/LR", true);
TreebankLangParserParams tlpp = Languages.getLanguageParams(Languages.Language.English);
tlpp.setInputEncoding("UTF-8");
treeCollinizer = tlpp.collinizer();
conllRoleIndexer = roleIndexer;
numOfRoles = roleIndexer.size();
this.roleFreqs = roleFreqs;
counts = new int[numOfRoles + 1][numOfRoles + 1];
correctCounts = new int[numOfRoles];
goldCounts = new int[numOfRoles];
srlResult = new EvalResult();
predResult = new EvalResult();
argsResult = new EvalResult();
errorsMap = new MultiValueMap<String, String>();
}
示例3: BracketPerformance
import edu.stanford.nlp.parser.lexparser.TreebankLangParserParams; //导入方法依赖的package包/类
public BracketPerformance()
{
evalb = new EvalbImpl("Evalb LP/LR", true);
TreebankLangParserParams tlpp = Languages.getLanguageParams(Language.English);
tlpp.setInputEncoding("UTF-8");
treeCollinizer = tlpp.collinizer();
}
示例4: BracketPerformanceOracle
import edu.stanford.nlp.parser.lexparser.TreebankLangParserParams; //导入方法依赖的package包/类
public BracketPerformanceOracle()
{
evalb = new EvalbImpl("Evalb LP/LR", true);
curEvalb = new EvalbImpl("Evalb LP/LR", true);
TreebankLangParserParams tlpp = Languages.getLanguageParams(Language.English);
tlpp.setInputEncoding("UTF-8");
treeCollinizer = tlpp.collinizer();
}
示例5: IncrementalBracketPerformance
import edu.stanford.nlp.parser.lexparser.TreebankLangParserParams; //导入方法依赖的package包/类
public IncrementalBracketPerformance()
{
evalbF1Map = new TreeMap<Integer, Double>();
evalbNumExamplesMap = new HashMap<Integer, Double>();
fullSentEvalb = new EvalbImpl("Evalb LP/LR", true);
partialEvalb = new EvalbImpl("Evalb LP/LR", true);
TreebankLangParserParams tlpp = Languages.getLanguageParams(Languages.Language.English);
tlpp.setInputEncoding("UTF-8");
treeCollinizer = tlpp.collinizer();
}
示例6: SemanticsOraclePerformance
import edu.stanford.nlp.parser.lexparser.TreebankLangParserParams; //导入方法依赖的package包/类
public SemanticsOraclePerformance(Indexer<String> roleIndexer, Map<Integer, Integer> roleFreqs)
{
super(roleIndexer, roleFreqs);
curEvalb = new EvalbImpl("Evalb LP/LR", true);
TreebankLangParserParams tlpp = Languages.getLanguageParams(Languages.Language.English);
tlpp.setInputEncoding("UTF-8");
treeCollinizer = tlpp.collinizer();
}