A multilingual dictionary database of Algonquian derivational morphemes

Algonquian Database Project

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This project is an NSF-funded cross-linguistic database of the components which make up words in Algonquian languages. There are two main goals:

  1. To provide tribes with a source for lexical expansion for their language revitalization/reclamation projects.

  2. To provide a basis for comprehensive reconstruction of Proto-Algonquian.

This database will be a web-based, open-access, centralized resource for Algonquian word components, providing community members and linguists with a set of data that has previously been difficult to access.

Project Team

Advisory Board

What Does Nisinoon Mean?

Nisinoon is an Ojibwe word meaning ‘there are three’. We chose it to represent the tripartite structure of Algonquian words: initial-medial-final. Click on the word to learn more about the word and hear it pronounced.

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Trillium applique by Angela Waupochick

Photo by Rodney Schreiner

Algonquian Word-Structure Basics

Overview of word structure in Algonquian languages.

Read Algonquian Word-Structure Basics here.

Algonquian Components Bibliography

The Algonquian Components Bibliography is a set of resources used in the Nisinoon project to collect data on derivational morphemes in Algonquian languages. It was compiled by Monica Macaulay (University of Wisconsin-Madison) and Hunter Lockwood (Myaamia Center, Miami University) with the help of Savana Stauss, Anushri Kartik-Narayan, and Rachel Fedorchak. Please let us know if you find any errors in the references.

If you see an error in this bibliography, or would like to suggest any additions, please email Monica Macaulay at

See the Algonquian Components Bibliography here.


The linguistic database in this repository is copyright to Monica Macaulay, and should not be copied, distributed, or modified without her express permission. The code in this repository is made available under an MIT license. See the license for more details.

Former Team Members

Acknowledgment of Support

This material is based upon work supported by the University of Wisconsin-Madison Graduate School and the National Science Foundation DLI-DEL program under grant number BCS1953103. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.