如何在Python中使用stanford依賴關係解析器

Question

如何在NLTK中使用Stanford依賴關係解析器 我厭倦了下面的代碼它沒有給出任何樹結構。可以請指導，我是python和NLTK的新手。

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    import os 
    sentence = "this is a foo bar i want to parse." 

    os.popen("echo '"+sentence+"' > ~/stanfordtemp.txt") 
    parser_out = os.popen("~/stanford-parser-full-2014-06-16/lexparser.sh ~/stanfordtemp.txt").readlines() 

    bracketed_parse = " ".join([i.strip() for i in parser_out if (len(i.strip()) > 0) == "("]) 
    print bracketed_parse 

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Output: 
Loading parser from serialized file edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz ... done [1.3 sec]. 
Parsing file: /home/stanfordtemp.txt 
Parsing [sent. 1 len. 10]: this is a foo bar i want to parse . 
Parsed file: /home/stanfordtemp.txt [1 sentences]. 
Parsed 10 words in 1 sentences (18.05 wds/sec; 1.81 sents/sec). 

Answer 1

您是否試過Stanford NLP頁面上列出的python封裝之一？ Komatsu and Castner似乎高達v3.3（當前版本是3.4）。