your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Example:
Question: What is your name?
Answer: My name is John.
Translation:
Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)].
Q: ['so', "let's", 'say', 'that', "we've", 'got', 'the', 'polynomial', '16', 'X', 'to', 'the', 'third', 'plus', '24', 'x', 'squared', 'plus', '9x', 'now', 'what', "I'd", 'like', 'you', 'to', 'do', 'is', 'pause', 'the', 'video', 'and', 'see', 'if', 'you', 'can', 'factor', 'this', 'polynomial', 'completely', 'now', "let's", 'work', 'through', 'it', 'together', 'so', 'the', 'first', 'thing', 'that', 'you', 'might', 'notice', 'is', 'that', 'all', 'of', 'the', 'terms', 'are', 'divisible', 'by', 'X', 'so', 'we', 'can', 'actually', 'factor', 'out', 'an', 'X', 'so', "let's", 'do', 'that', 'and', 'actually', 'if', 'we', 'look', 'at', 'these', 'coefficients', 'it', 'looks', 'like', "let's", 'see', 'it', 'looks', 'like', 'they', "don't", 'have', 'any', 'common', 'factors', 'other', 'than', 'one']
A: 
Answer: To complete this task, I will go through the input word stream and classify each word based on the given labels. I will do this step-by-step:

1. Initialize a list called 'output' to store the classification results for each word.
2. Go through each word in the input stream.

For each word:
- Check if it has the correct case. If not, it may be a CASE_DIFF error.
- Check if it has the correct punctuation. If not, it may be a PUNCUATION_DIFF error.
- Check if it is a stemmed word. If it is, it may be a STEM_BASED_DIFF error.
- Check if it is a digit. If it is, it may be a DIGIT_DIFF error.
- Check if it has an intra-word punctuation error. If it does, it may be an INTRAWORD_PUNC_DIFF error.
- If none of the above errors apply, it might be an UNKNOWN_TYPE_DIFF error.
- If no errors are found, label it as NO_DIFF (correct).

3. Append the classification label to the 'output' list.

4. Return the 'output' list.

A: ['NO_DIFF', 'INTRAWORD_PUNC_DIFF', 'NO_DIFF', 'NO_DIFF', 'INTRAWORD_PUNC_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_D...RAWORD_PUNC_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'INTRAWORD_PUNC_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'INTRAWORD_PUNC_DIFF', 'NO_DIFF']