Published 2026-02-12 · 9 min read

Language learning and the forgetting curve

Most language learners do not fail because they are incapable. They fail because memory naturally fades, and their study routine does not account for it. The forgetting curve explains why your progress can feel fast one week and gone the next—and why a short daily routine can outperform occasional marathon sessions.

What is the forgetting curve?

The forgetting curve comes from Hermann Ebbinghaus's experiments on memory in the late 19th century. His core finding still holds: recall drops rapidly after learning, then the rate of forgetting slows. In practical terms, what you study today is most vulnerable in the next 24 to 72 hours.

The curve is not a law with one universal shape for everyone. Sleep, stress, difficulty, meaning, and prior knowledge all change the slope. But as a planning model it is extremely useful: review before the drop gets steep, and your long-term retention improves dramatically.

Forgetting curve and spaced repetition curveAn orange forgetting curve that gradually falls toward zero and a blue spaced-repetition curve that resets to full recall after each review and decays more slowly over time.Memory RecallTimeNo reviewSpaced reviewsReview 1Review 2Review 3
A conceptual illustration: without review, recall drops quickly; with spaced repetition, each review slows forgetting and stretches retention.

How SuperMemo and Anki use this idea

SuperMemo (developed by Piotr Woźniak) pioneered algorithmic spaced repetition by estimating when a memory is likely to fade and scheduling a review just before that point. Later versions became highly sophisticated, adapting intervals to your personal recall history.

Anki brought a similar philosophy to mainstream learners with a practical interface and community deck ecosystem. Its scheduler is inspired by SM-2 principles and has evolved over time, but the foundation is the same: prompt retrieval, grade your recall, then reschedule based on difficulty and success.

Why short daily practice works better than cramming

Applying the research to real language learning

Spaced repetition alone is not enough. Research and classroom practice both point to better outcomes when repetition is paired with meaningful context. Vocabulary learned inside real sentences and relevant stories is easier to retrieve later than isolated lists.

That is exactly why Daylect is built around small, daily, contextual exposure. Instead of asking you to find extra study time, we send local news and weather in your target language. You keep contact with the language every day, in realistic reading conditions, with manageable cognitive load.

A practical weekly template

If you want to implement this immediately, use a simple structure:

You do not need perfect adherence to benefit. The main objective is continuity. Miss a day, return the next day, and keep the chain alive.

Bottom line

The forgetting curve is not bad news; it is a design constraint. Once you respect it, language learning gets more predictable. Small daily sessions, spaced review, and contextual input create a system where progress is less likely to disappear.

If you want that system done for you, register for Daylect and start building a retention-first daily routine.

References and further reading

  • Ebbinghaus, H. (1885/1913). Memory: A Contribution to Experimental Psychology.
  • Woźniak, P. A. writings on spaced repetition and SuperMemo algorithms.
  • Anki Manual and scheduler documentation.