List wrong spelling of word

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Don’t use a list of tuples. Use a dictionary:

ref_map = dict(ref_set)

for line in x:
    line = ' '.join([ref_map.get(word, word) for word in line.split()])

otherwise you have a NxM loop; for every extra word in your text or in your ref_set you double the number of iterations you need to do.

Your code only rebinds word, not replace the word in the line; the list comprehension above produces a new line value instead. This doesn’t replace the line in x though, you need another list comprehension for that:

x = [' '.join([ref_map.get(word, word) for word in line.split()]) for line in x]

It appears from the comments that x is not a list of sentences but rather one sentence. In which case you use just process that one line with one list comprehension, as in the loop iteration over x above:

def corrected(line):
    return ' '.join([ref_map.get(word, word) for word in line.split()])

Asked by: Norma Lueilwitz

Score: 4.3/5
(9 votes)

The right answer to the Puzzle is «Incorrectly.» As per the puzzle, the Word that is spelled incorrectly in the dictionary is «Incorrectly.» This particular riddle is to check your thinking & grammatical skill.

Which 11 letter word is spelled incorrectly?

incorrectly is the common eleven-letter word is always spelled incorrectly.

Is Spelt incorrect?

It’s true; the American English past tense form is spelled. In other varieties of English, both spelled and spelt are common. So, if you’re in the United States, you would probably write it like this: The past tense of the verb “spell” can be spelled in two ways.

Was it wrongly spelt?

«Spelled grammar wrongly» is correct. Wrongly is an adverb, while wrong is an adjective. Spelled is the past form of to spell, whereas spelt is a type of wheat.

Who uses spelt?

Spelt has been, historically speaking, the preferred past tense spelling of to spell in British English. Over the 19th and 20th centuries, spelt was much more commonly seen in British writing than spelled.

25 related questions found

In machine learning, spelling correction and spell checking is a well-known and well-studied problem in natural language processing. In this article, you will learn about a very basic machine learning project on spelling correction with Python programming language.

Introduction to Spelling Correction with Python

Correcting spelling mistakes is an integral part of writing in the modern world, whether it is part of texting a phone, sending an email, writing large documents or searching for information on the web.

Also, Read – 100+ Machine Learning Projects Solved and Explained.

Modern spelling correctors aren’t perfect (indeed, automatic error correction is a popular source of fun on the web), but they’re ubiquitous in just about all software that relies on keyboard input.

Spelling correction is often viewed from two angles. Non-word spell check is the detection and correction of spelling mistakes that result in non-words. In contrast, real word spell checking involves detecting and correcting misspellings even if they accidentally result in a real English word (real word errors).

This can come from typographical errors of real-word errors (insertion, deletion, transposition) that accidentally produce a real word, or from cognitive errors where the writer substituted the wrong one.

Now in this section, I will take you through how to create a program for the task of Spelling correction with Python programming language:

from textblob import TextBlob
words = ["Data Scence", "Mahine Learnin"]
corrected_words = []
for i in words:
    corrected_words.append(TextBlob(i))
print("Wrong words :", words)
print("Corrected Words are :")
for i in corrected_words:
    print(i.correct(), end=" ")

Wrong words : ['Data Scence', 'Mahine Learnin']
Corrected Words are :
Data Science Machine Learning

Summary

With the use of textblob library in Python, we can easily create Machine Learning Models for the task of Spelling Corrections. Detecting actual word spelling errors is a much more difficult task, as any word in the input text can be an error. 

However, it is possible to use the noisy channel to find candidates for every word the user typed and rank the correction that was probably the user’s original intention.

I hope you liked this article on creating a spelling correction with Python programming language. Feel free to ask your valuable questions in the comments section below.