📅  最后修改于: 2023-12-03 15:14:11.303000             🧑  作者: Mango
The Cocke-Younger-Kasami (CYK) algorithm is a dynamic programming algorithm used for parsing context-free grammars. It is named after its inventors, John Cocke, Daniel Younger, and Tadao Kasami.
The basic idea of the algorithm is to build a parse tree of a given input sentence based on the rules of a context-free grammar. The algorithm works by breaking the input sentence down into its constituent parts, known as terminals and non-terminals, and then checking whether these parts can be combined according to the rules of the grammar to form the sentence.
The CYK algorithm can be broken down into the following steps:
Here is an implementation of the CYK algorithm in Python:
def cyk(grammar, sentence):
# Step 1: Convert the grammar to CNF
cnf = grammar.convert_to_cnf()
# Step 2: Tokenize the input sentence and map to terminals
tokens = sentence.split()
terminals = [grammar.get_terminal(token) for token in tokens]
# Step 3: Initialize the array
n = len(terminals)
chart = [[set() for _ in range(n)] for _ in range(n)]
# Step 4: Fill in the array
for i in range(n):
chart[i][i].update(rule.head for rule in cnf if rule.body == (terminals[i],))
for j in range(i):
for k in range(j, i):
chart[j][i].update(rule.head for rule in cnf
for left in chart[j][k]
for right in chart[k+1][i]
if rule.body == (left, right))
# Step 5: Check if the input sentence is valid
return cnf.start in chart[0][n-1]
Note that this implementation assumes that the context-free grammar is represented as an object with the following methods:
convert_to_cnf
: Converts the grammar to Chomsky normal form.get_terminal
: Maps a token to its corresponding terminal symbol in the grammar.start
: Returns the start symbol of the grammar.The Cocke-Younger-Kasami algorithm is an important algorithm in natural language processing and computational linguistics. It can be used to parse sentences and generate parse trees according to a context-free grammar. The algorithm is based on dynamic programming and works by filling in a table with possible non-terminals that can produce each substring of the input sentence.