Here's an example implementation of the distinct_words method in Python:

def distinct_words(corpus):
    """
    Determines the distinct words (word types) that occur in the corpus.

    Args:
    corpus: A list of sentences, where each sentence is a list of words.

    Returns:
    A sorted list of distinct words.
    """
    # Flatten the corpus into a single list of words
    words = [word for sentence in corpus for word in sentence]

    # Use a set to remove duplicates, then convert back to a list
    distinct_words = list(set(words))

    # Sort the list of distinct words and return it
    return sorted(distinct_words)

Here, we use a list comprehension to flatten the list of sentences into a single list of words. We then convert this list to a set to remove duplicates, and finally convert back to a list and sort it before returning.

Note that this implementation assumes that all words in the corpus are lowercase. If this is not the case, you may want to add a step to convert all words to lowercase before processing

Implement distinct_words codePython Write a method to work out the distinct words word types that occur in the corpus You can do this with for loops but its more efficient to do it with Python list co

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