amanjeetsahu / natural-language-processing-specialization Goto Github PK

December 2022, I had to change the following function to pass all test cases

`# UNQ_C10 GRADED FUNCTION: get_corrections
def get_corrections(word, probs, vocab, n=2, verbose = False):
'''
Input:
word: a user entered string to check for suggestions
probs: a dictionary that maps each word to its probability in the corpus
vocab: a set containing all the vocabulary
n: number of possible word corrections you want returned in the dictionary
Output:
n_best: a list of tuples with the most probable n corrected words and their probabilities.
'''

suggestions = []
n_best = []

### START CODE HERE ###
#Step 1: create suggestions as described above    
suggestions = list((word in vocab and word) or edit_one_letter(word).intersection(vocab) or edit_two_letters(word).intersection(vocab))
n_best = [[s,probs[s]] for s in list(reversed(suggestions))]
n_best = sorted(n_best, key=lambda x: x[1])[::-1][:n]
### END CODE HERE ###

if verbose: print("entered word = ", word, "\nsuggestions = ", suggestions)

return n_best`

Hello,

In C1_W3_Assignment, "get_country", "word_embeddings" is used, which is a global variable.
In order for the assignment tests to pass, the local variable "embeddings" needs to be used instead.

Excuse me, Could u please upload the original version of this work? cuz I want to do it myself, thx!

some of my tests fail in these two problems and therefore I cannot pass this
could you please take a look?
C2_W4_Assignment.pdf