Metkagram · 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.

  1. 01
    Read the whole sentenceMeaning and context stay intact.
  2. 02
    Notice one useful roleTags make one recurring function easier to spot.
  3. 03
    Inspect the patternPatterns expose a reusable structure.
  4. 04
    Use the data againThe public data stays available for reading and agents.
Learn the Metkagram method

03 · Choose a language to study

Continue with one clear next step

Start with real sentences, then inspect their structure.

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 team

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 history

05 · 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 method
What 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 collections
Can 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 resources
Is 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 approach
Can 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