Computational and Corpus Linguistics

Competencies

Knowledge of Corpus linguistics and machine learning

Rationale:

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

Assessment Criteria:

Is able to use and teach computational tools for corpus and data analysis

The following activities have been identified to achieve comptency in Computational and Corpus Linguistics in levels from Learner to Expert.

Has Knowledge:

Explore existing tools for computational and corpus linguistics.

Explore existing tools for machine learning.

With Assistance:

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

Try out some machine learning tools.

Independent:

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

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

Proficient:

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

Train users to use existing machine learning solutions.

Expert:

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

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