cyberneticlibrary

Build vocabulary retention with spaced repetition

vocabulary-acquisitionskillsetup L164
Tibsfox/gsd-skill-creator
What it does

Plan vocabulary acquisition and retention using spaced repetition science

Best for

Building efficient vocabulary progressions for any language by frequency-banding the 2,000-5,000 core word families that unlock independent reading

Inputs
  • · target language word frequency list or corpus
  • · learner current vocabulary size
  • · available review time per day
Outputs
  • · daily vocabulary targets (10-20 words optimal)
  • · spaced repetition schedule (Leitner or SM-2)
  • · cognate exploitation list (language-pair specific)
  • · word family network (morphological relationships)
Requires
  • · Anki or equivalent SRS software (optional but recommended)
  • · word frequency lists (corpus-based)
Preconditions

Target language identified; learner able to commit 15-30 min daily to review; access to comprehensible input for contextual encoding

Failure modes

Learning >20 words/day creates unsustainable review backlog; massed cramming instead of spaced repetition yields rapid forgetting; decontextualized list memorization (no meaning attachment)

Trust signals
  • · Nation (2001, 2006) research on vocabulary thresholds for reading comprehension (78-98% coverage mapped to word counts)
  • · Ebbinghaus (1885) forgetting curve and 60% 24-hour loss quantified; spacing effect empirically demonstrated
  • · Leitner and SM-2 algorithms with pseudocode; Anki's popularity documented (most-used SRS)
  • · Cognate density by language pair with examples (English-French 27%, Spanish-Italian 82%)