本文整理了Java中edu.stanford.nlp.ling.Word.value()方法的一些代码示例，展示了Word.value()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Word.value()方法的具体详情如下：
包路径：edu.stanford.nlp.ling.Word
类名称：Word
方法名：value

Word.value介绍

暂无

代码示例

代码示例来源：origin: stanfordnlp/CoreNLP

@Override
public String word() {
 return value();
}

代码示例来源：origin: stanfordnlp/CoreNLP

public Word stem(Word w) {
 return new Word(stem(w.value()));
}

代码示例来源：origin: stanfordnlp/CoreNLP

while (tokenizer.hasNext()) {
 Word w = tokenizer.next();
 if (w.value().equals(WhitespaceLexer.NEWLINE)) {
  pw.println("***CR***");
 } else {

代码示例来源：origin: edu.stanford.nlp/stanford-corenlp

@Override
public String word() {
 return value();
}

代码示例来源：origin: edu.stanford.nlp/stanford-parser

@Override
public String word() {
 return value();
}

代码示例来源：origin: com.guokr/stan-cn-com

@Override
public String word() {
 return value();
}

代码示例来源：origin: edu.stanford.nlp/corenlp

public String word() {
 return value();
}

代码示例来源：origin: edu.stanford.nlp/corenlp

public Word stem(Word w) {
 return new Word(stem(w.value()));
}

代码示例来源：origin: com.guokr/stan-cn-com

public Word stem(Word w) {
 return new Word(stem(w.value()));
}

代码示例来源：origin: edu.stanford.nlp/stanford-parser

public Word stem(Word w) {
 return new Word(stem(w.value()));
}

代码示例来源：origin: edu.stanford.nlp/stanford-corenlp

public Word stem(Word w) {
 return new Word(stem(w.value()));
}

代码示例来源：origin: com.guokr/stan-cn-com

while (tokenizer.hasNext()) {
 Word w = tokenizer.next();
 if (w.value().equals(WhitespaceLexer.NEWLINE)) {
  pw.println("***CR***");
 } else {

代码示例来源：origin: edu.stanford.nlp/stanford-corenlp

while (tokenizer.hasNext()) {
 Word w = tokenizer.next();
 if (w.value().equals(WhitespaceLexer.NEWLINE)) {
  pw.println("***CR***");
 } else {

代码示例来源：origin: edu.stanford.nlp/stanford-parser

while (tokenizer.hasNext()) {
 Word w = tokenizer.next();
 if (w.value().equals(WhitespaceLexer.NEWLINE)) {
  pw.println("***CR***");
 } else {

代码示例来源：origin: edu.stanford.nlp/corenlp

while (tokenizer.hasNext()) {
 Word w = tokenizer.next();
 if (w.value().equals(WhitespaceLexer.NEWLINE)) {
  pw.println("***CR***");
 } else {