What does the distributional hypothesis state about words that appear in similar contexts?

Explore the crucial topics in AI Ethics. Study with thought-provoking flashcards and multiple-choice questions. Each question is accompanied by hints and detailed explanations to enhance your understanding. Prepare effectively for your upcoming evaluation!

Multiple Choice

What does the distributional hypothesis state about words that appear in similar contexts?

Explanation:
The distributional hypothesis says that a word’s meaning is reflected in the contexts where it tends to appear—words that share similar surrounding words and patterns are semantically related. In practical terms, if two words often show up near the same neighbors or in the same kinds of phrases, they tend to have similar meanings. This idea underpins many word-meaning models, like word embeddings, which learn representations based on co-occurrence patterns in large text corpora. For example, words related to "eat" and "food" often appear near words like "restaurant," "menu," "flavor," and "taste," so their meanings are captured as similar in these models. This is why the correct statement is that words in similar contexts tend to have similar meanings. It’s not about matching frequencies of occurrence (two words can occur at different rates yet still share contexts), nor about spelling or orthography, nor about syntactic sharing in every sentence.

The distributional hypothesis says that a word’s meaning is reflected in the contexts where it tends to appear—words that share similar surrounding words and patterns are semantically related. In practical terms, if two words often show up near the same neighbors or in the same kinds of phrases, they tend to have similar meanings. This idea underpins many word-meaning models, like word embeddings, which learn representations based on co-occurrence patterns in large text corpora. For example, words related to "eat" and "food" often appear near words like "restaurant," "menu," "flavor," and "taste," so their meanings are captured as similar in these models.

This is why the correct statement is that words in similar contexts tend to have similar meanings. It’s not about matching frequencies of occurrence (two words can occur at different rates yet still share contexts), nor about spelling or orthography, nor about syntactic sharing in every sentence.

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy