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README.md
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base_model:
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- cis-lmu/glot500-base
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Inuktitut morphological segmenter model reported in the paper: ADD WHEN PUBLISHED
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base_model:
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- cis-lmu/glot500-base
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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.
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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" (link will be added when published)
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**Datasets used:**
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The Nunavut Hansard Inuktitut–English Parallel Corpus 3.0 with Preliminary Machine Translation Results: https://aclanthology.org/2020.lrec-1.312/
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**Method used:**
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LLMSegm: Surface-level Morphological Segmentation Using Large Language Model: https://aclanthology.org/2024.lrec-main.933/
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