Towards Unsupervised Morphological Analysis of Polysynthetic Languages (2022.aacl-short)
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Sujay Khandagale, Yoann Léveillé, Samuel Miller, Derek Pham, Ramy Eskander, Cass Lowry, Richard Compton, Judith Klavans, Maria Polinsky, Smaranda Muresan
| Challenge: | Polysynthetic languages are low-resource, lacking large scale annotated datasets needed to build and/or evaluate computational models. |
| Approach: | They propose to use linguistic priors to help with morphological segmentation and part-of-speech tagging tasks for Adyghe and Inuktitut . |
| Outcome: | The proposed methods improve morphological segmentation and part-of-speech tagging tasks on Adyghe and Inuktitut. |
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