Python - ชิ้นส่วนและ Chinks

Chunking เป็นกระบวนการจัดกลุ่มคำที่คล้ายกันเข้าด้วยกันตามลักษณะของคำ ในตัวอย่างด้านล่างนี้เรากำหนดไวยากรณ์ที่จะต้องสร้างกลุ่ม ไวยากรณ์แนะนำลำดับของวลีเช่นคำนามและคำคุณศัพท์เป็นต้นซึ่งจะตามมาเมื่อสร้างชิ้นส่วน ผลลัพธ์ภาพของชิ้นส่วนดังแสดงด้านล่าง

import nltk
sentence = [("The", "DT"), ("small", "JJ"), ("red", "JJ"),("flower", "NN"), 
("flew", "VBD"), ("through", "IN"),  ("the", "DT"), ("window", "NN")]
grammar = "NP: {
      
       ?
       
* }" cp = nltk.RegexpParser(grammar) result = cp.parse(sentence) print(result) result.draw()

When we run the above program we get the following output −

Changing the grammar, we get a different output as shown below.

import nltk
sentence = [("The", "DT"), ("small", "JJ"), ("red", "JJ"),("flower", "NN"),
 ("flew", "VBD"), ("through", "IN"),  ("the", "DT"), ("window", "NN")]
grammar = "NP: {
      
? * }" chunkprofile = nltk.RegexpParser(grammar) result = chunkprofile.parse(sentence) print(result) result.draw()

When we run the above program we get the following output −

Chinking

Chinking is the process of removing a sequence of tokens from a chunk. If the sequence of tokens appears in the middle of the chunk, these tokens are removed, leaving two chunks where they were already present.

import nltk
sentence = [("The", "DT"), ("small", "JJ"), ("red", "JJ"),("flower", "NN"), ("flew", "VBD"), ("through", "IN"),  ("the", "DT"), ("window", "NN")]
grammar = r"""
  NP:
    {<.*>+}         # Chunk everything
    }
      
       +{      # Chink sequences of JJ and NN
  """
chunkprofile = nltk.RegexpParser(grammar)
result = chunkprofile.parse(sentence) 
print(result)
result.draw()

      

When we run the above program, we get the following output −

As you can see the parts meeting the criteria in grammar are left out from the Noun phrases as separate chunks. This process of extracting text not in the required chunk is called chinking.