Presentation Open Access
Using deep learning paradigm to improve syllabic versification: A first approach
De la Rosa, Javier;
Ros Muñoz
Citation Style Language JSON Export
{
"publisher": "Zenodo",
"DOI": "10.5281/zenodo.3356266",
"language": "akh",
"title": "Using deep learning paradigm to improve syllabic versification: A first approach",
"issued": {
"date-parts": [
[
2019,
7,
31
]
]
},
"abstract": "<p>Presented an off-track paper on using modern neural approaches for unsupervised scansion of multi-lingual texts</p>",
"author": [
{
"family": "De la Rosa, Javier"
},
{
"family": "Ros Mu\u00f1oz"
}
],
"id": "3356266",
"event-place": "Prague",
"type": "speech",
"event": "QUANTITATIVE APPROACHES TO VERSIFICATION (QAV2019)"
}
85
70
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downloads
| All versions | This version | |
|---|---|---|
| Views | 85 | 85 |
| Downloads | 70 | 70 |
| Data volume | 646.2 MB | 646.2 MB |
| Unique views | 83 | 83 |
| Unique downloads | 64 | 64 |
Indexed in
- Publication date:
- July 31, 2019
- DOI:
-
- Keyword(s):
- scansion versification natural language processing embeddings
- Grants:
-
European Commission:
- POSTDATA - Poetry Standardization and Linked Open Data (679528)
- Meeting:
- QUANTITATIVE APPROACHES TO VERSIFICATION (QAV2019), Prague, 24-26 JUNE 2019
- License (for files):
- Creative Commons Attribution 4.0 International