中國Lemmetization在StanfordNLP

Question

是斯坦福CoreNLP包中國能夠檢測成渝（成語）和格言（格言/諺語/慣用語（如冰凍三尺，非一日之寒））？

Answer 1

！

Superise我來說真的是不
由斯坦福NLP管道（與中國型號）生成以下：記號化，SSPLIT，POS，引理，NER

[ 
    [ 
     { 
     "category2":null, 
     "offset-begin":"0", 
     "ner2":"O", 
     "lemma2":"冰凍三尺", 
     "word2":null, 
     "index":"1", 
     "index2":"1", 
     "lemma":"冰凍三尺", 
     "offset-begin2":"null", 
     "tag2":"", 
     "originalText":"", 
     "offset-end":"4", 
     "answer":null, 
     "pos":"VV", 
     "offset-end2":"null", 
     "ner":"O", 
     "tag":"VV", 
     "originalText2":null, 
     "category":null, 
     "word":"冰凍三尺", 
     "value":"冰凍三尺" 
     }, 
     { 
     "category2":null, 
     "offset-begin":"4", 
     "ner2":"O", 
     "lemma2":"，", 
     "word2":null, 
     "index":"2", 
     "index2":"2", 
     "lemma":"，", 
     "offset-begin2":"null", 
     "tag2":"", 
     "originalText":"", 
     "offset-end":"5", 
     "answer":null, 
     "pos":"PU", 
     "offset-end2":"null", 
     "ner":"O", 
     "tag":"PU", 
     "originalText2":null, 
     "category":null, 
     "word":"，", 
     "value":"，" 
     }, 
     { 
     "category2":null, 
     "offset-begin":"5", 
     "ner2":"O", 
     "lemma2":"非一日之寒", 
     "word2":null, 
     "index":"3", 
     "index2":"3", 
     "lemma":"非一日之寒", 
     "offset-begin2":"null", 
     "tag2":"", 
     "originalText":"", 
     "offset-end":"10", 
     "answer":null, 
     "pos":"VV", 
     "offset-end2":"null", 
     "ner":"O", 
     "tag":"VV", 
     "originalText2":null, 
     "category":null, 
     "word":"非一日之寒", 
     "value":"非一日之寒" 
     } 
    ] 
]