03 · Collaborations
Open to thoughtful collaborations.
We welcome research, teaching, content and language-data collaborations that make the method more useful to learners.
Contact the project teamMetkagram · language notation
LANGUAGE · IN CONTEXT
Metkagram
See the structure. Use the phrase.
Read complete sentences. Keep the structure visible.
01Read
02See the role
03Build the pattern
04Use it
Metkagram is a free learning workspace for reading annotated sets and turning useful phrases into reusable patterns.
01
Start
→Read & understand
→Reuse with confidence
01 · Metkagram
Two ways to make language usable
Two modes, one principle: think in complete phrases.
02 · Method
The Metkagram method
A tag is a small attention cue inside a real sentence. It helps you notice a role, retrieve the pattern later and use it—not memorise a label in isolation.
- 01Read the whole sentenceMeaning and context stay intact.
- 02Notice one useful roleTags make one recurring function easier to spot.
- 03Inspect the patternPatterns expose a reusable structure.
- 04Use the data againThe public data stays available for reading and agents.
03 · Choose a language to study
Continue with one clear next step
Start with real sentences, then inspect their structure.
04 · Product history
The mobile app became a research stage
Cards, annotation and repetition were tested in the mobile product. Active Metkagram now develops on the web around the Pattern Library and Pattern Lens.
Mobile app history05 · Questions, answered
What can you do with Metkagram?
A quick guide for learners, researchers and agents working with the collection.
What is the Metkagram method?
Read a meaningful sentence first, then use minimal functional tags to notice its structure. From there, inspect a reusable pattern, compare variations and return to it later.
Read about the methodWhat is available on the site?
Annotated English and German sentences, dialogues, reference collections, a notation guide, and a public catalogue of B2–C1 patterns with examples and variations.
Browse the collectionsCan an AI agent use the data?
Yes. The static API, search index, downloadable datasets and MCP specification let agents retrieve patterns, sets and annotated documents. Keep the provenance and canonical link when presenting a record.
Open agent resourcesIs this only a learning website?
No. The token-level annotation scheme is also an open, machine-readable research resource for NLP-oriented analysis, teaching experiments and language-data work.
See the research approachCan I reuse or contribute to the project?
The content is free for personal, educational and other non-commercial use with attribution. For sponsorships, collaborations, research or commercial use, see the partnership page.
Support the project