The model Glot500-m-iuseg is a fine-tuned version of the Glot500-m model. It was fine-tuned to segment Inuktitut words by morpheme boundaries and is intended to be used as a pre-processing tool for the language.
The model found in this repository is our best performing fine-tuned model described in the paper: "Surface-Level Morphological Segmentation of Low-resource Inuktitut Using Pre-trained Large Language Models":
https://aclanthology.org/2025.nodalida-1.69/Datasets used:
The Nunavut Hansard Inuktitut–English Parallel Corpus 3.0 with Preliminary Machine Translation Results:
https://aclanthology.org/2020.lrec-1.312/
Method used:
LLMSegm: Surface-level Morphological Segmentation Using Large Language Model:
https://aclanthology.org/2024.lrec-main.933/ 
