Towards Unsupervised Morphological Analysis of Polysynthetic Languages ...
Polysynthetic languages present a challenge for morphological analysis due to the complexity of their words and the lack of high-quality annotated datasets needed to build and/or evaluate computational models. The contribution of this work is twofold. First, using linguists’ help, we generate and co...
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ftdatacite:10.48448/8m5w-vq37 2023-05-15T16:55:35+02:00 Towards Unsupervised Morphological Analysis of Polysynthetic Languages ... Association for Computational Linguistics 2022 Khandagale, Sujay 2022 https://dx.doi.org/10.48448/8m5w-vq37 https://underline.io/lecture/64698-towards-unsupervised-morphological-analysis-of-polysynthetic-languages unknown Underline Science Inc. Natural Language Processing MediaObject Audiovisual article Conference talk 2022 ftdatacite https://doi.org/10.48448/8m5w-vq37 2023-04-03T13:14:08Z Polysynthetic languages present a challenge for morphological analysis due to the complexity of their words and the lack of high-quality annotated datasets needed to build and/or evaluate computational models. The contribution of this work is twofold. First, using linguists’ help, we generate and contribute high-quality annotated data for two low-resource polysynthetic languages for two tasks: morphological segmentation and part-of-speech (POS) tagging. Second, we present the results of state-of-the-art unsupervised approaches for these two tasks on Adyghe and Inuktitut. Our findings show that for these polysynthetic languages, using linguistic priors helps the task of morphological segmentation and that using stems rather than words as the core unit of abstraction leads to superior performance on POS tagging. To view the proceedings, please click here (https://aclanthology.org/2022.aacl-short.41/) ... Article in Journal/Newspaper inuktitut DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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Natural Language Processing |
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Natural Language Processing Association for Computational Linguistics 2022 Khandagale, Sujay Towards Unsupervised Morphological Analysis of Polysynthetic Languages ... |
topic_facet |
Natural Language Processing |
description |
Polysynthetic languages present a challenge for morphological analysis due to the complexity of their words and the lack of high-quality annotated datasets needed to build and/or evaluate computational models. The contribution of this work is twofold. First, using linguists’ help, we generate and contribute high-quality annotated data for two low-resource polysynthetic languages for two tasks: morphological segmentation and part-of-speech (POS) tagging. Second, we present the results of state-of-the-art unsupervised approaches for these two tasks on Adyghe and Inuktitut. Our findings show that for these polysynthetic languages, using linguistic priors helps the task of morphological segmentation and that using stems rather than words as the core unit of abstraction leads to superior performance on POS tagging. To view the proceedings, please click here (https://aclanthology.org/2022.aacl-short.41/) ... |
format |
Article in Journal/Newspaper |
author |
Association for Computational Linguistics 2022 Khandagale, Sujay |
author_facet |
Association for Computational Linguistics 2022 Khandagale, Sujay |
author_sort |
Association for Computational Linguistics 2022 |
title |
Towards Unsupervised Morphological Analysis of Polysynthetic Languages ... |
title_short |
Towards Unsupervised Morphological Analysis of Polysynthetic Languages ... |
title_full |
Towards Unsupervised Morphological Analysis of Polysynthetic Languages ... |
title_fullStr |
Towards Unsupervised Morphological Analysis of Polysynthetic Languages ... |
title_full_unstemmed |
Towards Unsupervised Morphological Analysis of Polysynthetic Languages ... |
title_sort |
towards unsupervised morphological analysis of polysynthetic languages ... |
publisher |
Underline Science Inc. |
publishDate |
2022 |
url |
https://dx.doi.org/10.48448/8m5w-vq37 https://underline.io/lecture/64698-towards-unsupervised-morphological-analysis-of-polysynthetic-languages |
genre |
inuktitut |
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inuktitut |
op_doi |
https://doi.org/10.48448/8m5w-vq37 |
_version_ |
1766046584777211904 |