Example result: Build a vocabulary list from any text
AI-generated example · Vocab Builder
Updated

Build a vocabulary list from any text

This prompt extracts useful words from a text you paste for a learner of a language at your level. It gives fifteen words in a table with a simple meaning, part of speech and an example sentence.

text-vocabulary-builder — chatgpt — 44 words

Extract useful vocabulary from this text for a [LEVEL] learner of [LANGUAGE].

Text: [PASTE]

Give 15 words as a table: word, meaning in simple words, part of speech, example sentence and a memory tip. Skip very easy words. Finish with a 5-question gap-fill quiz.

Add the words to a flashcard app straight away.

Get a better result

What you will get

A table of 15 words from your text with a plain meaning, part of speech, an example sentence and a memory tip, skipping very easy words, then a five-question gap-fill quiz.

Why it works

Learning words from a text you chose keeps them tied to a real context. The table forces the five things that make a word usable: meaning, grammar role, an example, a hook to remember it and a quick test. Skipping very easy words and stating your level stops the list from filling up with words you already know.

Common mistake

The example sentences are copied from your text.

Fix: Ask for new example sentences in a different setting. Seeing a word in two contexts helps it stick.

Also watch for
  • The words chosen are too hard or too easy. Give your level as a standard band, such as A2 or B1, not just “intermediate”, so the cut-off is clear.
  • The memory tips are forced puns. Ask for tips that link the word to a root, a similar word in your own language or a picture.
Try a variation: phrases, not single words

Ask for 10 useful phrases or collocations from the text instead, such as “make a decision”, with when a native speaker would use each.

Still not right? Reply with this

Quiz me on these 15 words one at a time. Give me the meaning, wait for my answer, and repeat any word I get wrong at the end.

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