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Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0
In: Proceedings of the International Workshop on Challenges & Perspectives in Creating Large Language Models 2022 (BigScience 2022) ; https://hal.inria.fr/hal-03639144 ; Proceedings of the International Workshop on Challenges & Perspectives in Creating Large Language Models 2022 (BigScience 2022), May 2022, Dublin, France (2022)
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Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0 ...
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Operationalizing a National Digital Library: The Case for a Norwegian Transformer Model ...
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The futility of STILTs for the classification of lexical borrowings in Spanish ...
de la Rosa, Javier. - : arXiv, 2021
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Automatic quantitative metrical analysis of Spanish Poetry with Rantanplan: a first approach ...
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Automatic quantitative metrical analysis of Spanish Poetry with Rantanplan: a first approach ...
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Rantanplan: Fast and Accurate Syllabification and Scansion of Spanish Poetry ...
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Rantanplan: Fast and Accurate Syllabification and Scansion of Spanish Poetry ...
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PoetryLab as Infrastructure for the Analysis of Spanish Poetry ...
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PoetryLab: An Open Source Toolkit for the Analysis of Spanish Poetry Corpora ...
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Rantanplan: Fast and Accurate Syllabification and Scansion of Spanish Poetry ...
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Rantanplan: Fast and Accurate Syllabification and Scansion of Spanish Poetry ...
Abstract: Automated analysis of Spanish poetry corpora lacks the richness of tools available for English. The existing options suffer from a number of issues: are limited to fixed-meter hendecasyllables verses only, are not publicly available, the syllabification procedure underneath is not thoroughly tested, and their speed is questionable. For syllabification, we contribute with our own method and manually crafted corpus. For scansion, our approach is based on a heuristic for the application of rhetorical figures that alter metrical length. Experimental evaluation shows that both fixed-meter and mixed-meter poetry can be successfully analyzed, producing metrical patterns more accurately (increasing accuracy by 2% and 20%, respectively), and at a fraction of the time other methods need (running at least 100 times faster). ...
Keyword: Natural Language Processing, Digital Humanities
URL: https://dx.doi.org/10.5281/zenodo.4301484
https://zenodo.org/record/4301484
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PoetryLab as Infrastructure for the Analysis of Spanish Poetry ...
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PoetryLab as Infrastructure for the Analysis of Spanish Poetry ...
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PoetryLab as Infrastructurefor the Analysis of Spanish Poetry ...
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PoetryLab as Infrastructure for the Analysis of Spanish Poetry ...
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PoetryLab: An Open Source Toolkit for the Analysis of Spanish Poetry Corpora ...
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PoetryLab as Infrastructurefor the Analysis of Spanish Poetry ...
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PoetryLab An Open Source Toolkit for the Analysis of Spanish Poetry Corpora ...
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PoetryLab An Open Source Toolkit for the Analysis of Spanish Poetry Corpora ...
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