1
8 minFrequency
Top 100 Recognition
Start with the highest-frequency words so every later drill has a strong base.
Corpus
116
ranked words
Checkpoint
Recognize the German word before checking the translation.
Learning Paths
Turn the scraped corpus into guided routes
Follow ordered paths across frequency, context, articles, plurals, cases, verbs, topics, semantic links, word families, and long-tail depth. Each stage has a corpus count, sample words, an explorer link, and a drill.
6,276
Corpus words
Scraped entries available for routes and drills.
6,274
Ranked words
Words that can be ordered by source frequency.
5
Learning paths
Guided routes across frequency, nouns, verbs, depth, and memory.
20
Path stages
Concrete steps with quiz and explorer links.
Full route map
5 paths, 20 stages, 186 minutes of focused practice
The paths are deliberately ordered: recognition first, precision second, production signals third, semantic memory fourth, and corpus depth last.
Start here40 min4 stages
Core Frequency Path
A clean route from the highest-frequency words into the first serious recognition checkpoint.
Outcome
Build a fast recognition base from ranked vocabulary.
3,279 corpus touches
2
12 minFrequency
Core 500 Expansion
Expand from recognition into the everyday vocabulary that appears across many contexts.
Corpus
555
ranked words
Checkpoint
Translate common words without leaning on the topic label.
3
10 minLevels
A1-A2 Bridge
Blend beginner levels with corpus rank to turn lists into a clean first curriculum.
Corpus
1,538
starter words
Checkpoint
Move between beginner words without switching practice mode.
4
10 minRecall
Confusable Checkpoint
Use close answer choices to catch words that only feel familiar.
Corpus
1,070
top-ranked words
Checkpoint
Pick the right meaning when the distractors are plausible.
Precision builders38 min4 stages
Sentence and Noun Accuracy
A focused path for context sentences, articles, plurals, and noun cases.
Outcome
Turn noun knowledge into sentence-ready accuracy.
6,411 corpus touches
1
8 minContext
Example Recall
Use example-backed entries to practice words inside complete German sentences.
Corpus
332
example-ready words
Checkpoint
Identify the missing word from sentence meaning, not word shape.
2
10 minNouns
Article Lock-In
Make der, die, and das visible before noun practice gets more complex.
Corpus
3,189
article-ready nouns
Checkpoint
Answer the article before reading the translation.
3
10 minNouns
Plural Patterns
Practice real plural forms from the scraped corpus instead of memorizing one-off endings.
Corpus
2,793
plural-ready nouns
Checkpoint
Recall the plural before seeing answer choices.
4
10 minCases
Case Forms
Use entries with declension tables to practice exact nominative, accusative, dative, and genitive forms.
Corpus
97
case-ready nouns
Checkpoint
Choose the case form, not just the base noun.
Action words38 min4 stages
Verb Builder Path
A route through common verbs, present forms, prefix families, and close verb meanings.
Outcome
Make verbs usable beyond dictionary recall.
3,631 corpus touches
1
8 minVerbs
Common Verb Base
Start with ranked verbs before moving into forms and prefixes.
Corpus
1,460
ranked verbs
Checkpoint
Translate common verbs in both directions.
2
10 minConjugation
Present Forms
Move beyond dictionary forms into present-tense prompts.
Corpus
40
conjugation-ready verbs
Checkpoint
Complete the form for the requested subject.
3
10 minVerbs
Prefix Families
Group be-, ver-, an-, auf-, and other prefixes so meanings reinforce each other.
Corpus
671
grouped verbs
Checkpoint
Use the prefix as a meaning signal before choosing an answer.
4
10 minRecall
Verb Confusables
Use close distractors to separate verbs that blur together.
Corpus
1,460
ranked verbs
Checkpoint
Pick the exact verb when several answers are semantically close.
Memory graph36 min4 stages
Semantic Memory Path
A route through relation-ready words, stored semantic edges, word families, and spaced review.
Outcome
Turn scraped vocabulary into connected recall instead of isolated recognition.
2,727 corpus touches
1
8 minRelations
Semantic Link Warm-Up
Start with words that already have stored synonyms or related-word edges.
Corpus
573
relation-ready words
Checkpoint
Say the linked word before opening the memory map.
2
10 minMemory Web
Relation Contrast Drill
Use explicit graph edges to separate synonyms, companions, and nearby meanings.
Corpus
1,382
stored relation edges
Checkpoint
Choose the linked word from close semantic distractors.
3
10 minFamilies
Arbeit Family Web
Blend semantic links with root families so compounds and related forms reinforce the same memory neighborhood.
Corpus
199
family-grouped words
Checkpoint
Recognize the shared root before checking the translation.
4
8 minReview
Semantic Review Loop
Finish by sending linked vocabulary into the semantic review deck so graph practice repeats over time.
Corpus
573
reviewable linked words
Checkpoint
Review missed semantic links before adding a new cluster.
Corpus depth34 min4 stages
Depth and Growth Path
A route for topical clusters, long-tail recall, and the remaining enrichment queues.
Outcome
Use the full scraped corpus instead of only the obvious core.
11,495 corpus touches
1
8 minTopics
Doctor And Medicine Cluster
Practice a dense semantic cluster so related words strengthen one another.
Corpus
190
topic words
Checkpoint
Recognize words from one practical domain in a single pass.
2
8 minTopics
Food And Drink Cluster
Add a second domain to prevent the corpus from becoming one narrow lane.
Corpus
136
topic words
Checkpoint
Switch topics while preserving recall speed.
3
12 minExpansion
Long-Tail Depth
Use the scraped tail to make the product deeper than a beginner vocabulary list.
Corpus
5,204
long-tail words
Checkpoint
Recover less frequent words from English prompts.
4
6 minGrowth
Corpus Intake
Place Unleveled words and find enrichment gaps so the corpus keeps getting stronger.
Corpus
5,965
intake targets
Checkpoint
Turn loose scraped entries into sequenced, drill-ready vocabulary.