正確使用NTLK與python

Question

我想用NTLK獲取一些單詞的數量的縮寫（現在2）。看起來我可以用它來處理第一個單詞，但不是第二個單詞。我猜我還有很多要學習NTLK。下面有一些簡化的示例代碼。我基本上試圖得到兩個縮略詞列表，每個詞有1個列表。所有的第一個循環都很好。當我嘗試第二個字後，我得到：

syn2 = wn.synsets(word)[0].lemmas[y] 
IndexError: list index out of range 

希望有人能幫助我理解爲什麼會發生這種情況。

import nltk 
from nltk.corpus import wordnet as wn 
import string 
from array import * 

syn1 = '' 
syn2 = '' 
mylist = []  
mylist2 = []  
mylist3 = [] 


Web_Keywd = 'car loan' 
wuser_words = Web_Keywd.split() 

for word in wuser_words:       


    i=i+1 
    #first 
    if (i == 1) : 
     synset1 = wn.synsets(word)  
     y = 0  
     for synset in synset1: 
      syn1 = wn.synsets(word)[0].lemmas[y] 
      syn1 = syn1.name 
      mylist2.append(syn1) 
      y=y+1 
    if (i == 2) : 
     y = 0  
     for synset2 in wn.synsets(word): 
      syn2 = wn.synsets(word)[0].lemmas[y] 
      syn2 = syn2.name 
      mylist3.append(syn2) 
      y=y+1 

Answer 1

我也許在我以前的回答中誤導了你，使用wn.synsets(word)[0].lemmas[y]。你需要明確地循環引理，因爲你不知道事先有多少。例如用例：

Web_Keywd = 'car loan cheap' 

results = {} 
for word in Web_Keywd.split(): 
    for synset in wn.synsets(word): 
     for lemma in synset.lemmas: 
      results.setdefault(word, []).append(lemma.name) 

results現在看起來如下：

.... # same as above 
      results.setdefault(word, set()).add(lemma.name) 

要獲得：獨立於其他的

{'car': ['car', 'auto', 'automobile', 'machine'...], 
'loan': ['loan', 'loanword', 'loan', 'lend', 'loan'...], 
'cheap': ['cheap', 'inexpensive', 'brassy', 'cheap...]} 

爲了得到獨一無二的結果提交每個字， 全部提交的字數：

Web_Keywd = 'car loan cheap' 

words = set(Web_Keywd.split()) 
results = set(
    lemma.name 
    for word in words 
     for synset in wn.synsets(word) 
      for lemma in synset.lemmas 
) 
# results -> {'loanword', 'tatty', 'automobile', 'cheap', 'chinchy',...