扩展斯坦福CoreNLP西班牙语模型/词典的方法如下:
models
文件夹中。Properties props = new Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner, parse, sentiment");
props.setProperty("tokenize.language", "es");
props.setProperty("pos.model", "path/to/spanish-pos.tagger");
props.setProperty("ner.model", "path/to/spanish-ner-model.ser.gz");
props.setProperty("parse.model", "path/to/spanish-parser-model.ser.gz");
props.setProperty("sentiment.model", "path/to/spanish-sentiment-model.ser.gz");
props.setProperty("customAnnotatorClass.custom", "path.to.your.CustomAnnotator");
StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
请注意,上述代码中的path/to/
应替换为实际的模型文件路径。
String text = "这是一段西班牙语文本。";
Annotation document = new Annotation(text);
pipeline.annotate(document);
List<CoreMap> sentences = document.get(CoreAnnotations.SentencesAnnotation.class);
for (CoreMap sentence : sentences) {
for (CoreLabel token : sentence.get(CoreAnnotations.TokensAnnotation.class)) {
String word = token.get(CoreAnnotations.TextAnnotation.class);
String nerTag = token.get(CoreAnnotations.NamedEntityTagAnnotation.class);
System.out.println("词汇:" + word + ",命名实体标签:" + nerTag);
}
}
这样,就可以使用扩展后的斯坦福CoreNLP西班牙语模型/词典进行文本处理了。
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