Presentation Open Access
{ "inLanguage": { "alternateName": "akh", "@type": "Language", "name": "Angal Heneng" }, "description": "<p>Presented an off-track paper on using modern neural approaches for unsupervised scansion of multi-lingual texts</p>", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "creator": [ { "affiliation": "UNED", "@id": "https://orcid.org/0000-0002-9143-5573", "@type": "Person", "name": "De la Rosa, Javier" }, { "affiliation": "UNED", "@id": "https://orcid.org/0000-0001-6330-4958", "@type": "Person", "name": "Ros Mu\u00f1oz" } ], "url": "https://zenodo.org/record/3356266", "datePublished": "2019-07-31", "@type": "PresentationDigitalDocument", "keywords": [ "scansion", "versification", "natural language processing", "embeddings" ], "@context": "https://schema.org/", "identifier": "https://doi.org/10.5281/zenodo.3356266", "@id": "https://doi.org/10.5281/zenodo.3356266", "workFeatured": { "url": "http://versologie.cz/conference2019/", "alternateName": "QAV2019", "location": "Prague", "@type": "Event", "name": "QUANTITATIVE APPROACHES TO VERSIFICATION" }, "name": "Using deep learning paradigm to improve syllabic versification: A first approach" }
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