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Computational and Corpus Linguistics

Target competencyIs able to use and teach computational tools for corpus and data analysis.

Why it matters

This competency promotes the use of natural language processing tools for the advancement of the development of language and its community.

Progression

Each rung is a level a learner is at; its activities are what carries them to the next one. How to read these levels

Corpus Linguistics

  1. 0No Competency

    Explore existing tools for computational and corpus linguistics.

    Carries a learner to 1 — Has Knowledge

  2. 1Has Knowledge

    Learn to collect, prepare and tag corpus data for Natural Language Processing.

    Carries a learner to 2 — With Assistance

  3. 2With Assistance

    Learn to use an NLP tool for forced alignment, semantic parsing, or corpus linguistics.

    Carries a learner to 3 — Independent

  4. 3Independent

    Train users to use an NLP tool for forced alignment, semantic parsing, or corpus linguistics.

    Carries a learner to 4 — Expert

  5. 4Expert

    Participate in or contribute to efforts to augment, improve, or develop new NLP methods.

    Top of the ladder

Machine Learning

  1. 0No Competency

    Explore existing tools for machine learning.

    Carries a learner to 1 — Has Knowledge

  2. 1Has Knowledge

    Try out some machine learning tools.

    Carries a learner to 2 — With Assistance

  3. 2With Assistance

    Contribute to a project using existing machine learning to explore solutions.

    Carries a learner to 3 — Independent

  4. 3Independent

    Train users to use existing machine learning solutions.

    Carries a learner to 4 — Expert

  5. 4Expert

    Participate in or contribute to efforts to augment, improve, or develop new Machine Learning projects.

    Top of the ladder

Description

Knowledge of the computational tools for corpus and data analysis.

Further Information

More in the resource library.

Descriptor last updated 2026-07-01.