DITHENS
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Pubblicato il Mer, 12/11/2024 - 16:15
The research project aims at developing an innovative tool for students and researchers, thanks to deep learning technology in the field of optical text recognition (OHR/OTR), providing automatic transcriptions of handwritten news-sheets from different cultural settings.
The staff at Pegaso offers in-depth competence in the field of early modern handwritten journals and in the early stages of several European languages, and a specific awareness concerning the main issues faced in the development of such tools. Co-operation with international agents will extend the research field to encompass the main European traditions.
We need partner related to the following topic:
- Firstly, the new software (based on algorithms such as Long Short-Term Memory and Multi-Dimensional Recurrent Neural Networks), created in co-operation with private or public agents, will be able to scan and read handwritten documents in early modern calligraphy, accounting for spelling variations and styles of personal handwriting.
- Secondly, a text comparison tool based on AI will detect textual borrowings or even plagiarisms from handwritten news-sheets by contemporary or later historians.
- Interdisciplinarity is the cornerstone of the project. The joint effort of historians and AI experts shall yield multifaceted insights concerning the circulation of news and information, which still today is one of the main features of European identity and values.
If interested, please contact giampiero.brunelli@unipegaso.it
Partnership Details
Post type
Erasmus+ Cooperation partnership (Key Action 2)
Data di pubblicazione
Richiesta valida fino a
Organizzazione
Contatto
Francesco Peluso Cassese
Sto cercando…
Organisation specialised in learning or career guidance
Working with participants with fewer opportunities
Yes
Looking for new consortium members
No
Paesi
Europe
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Finland
France
North Macedonia
Germany
Greece
Hungary
Iceland
Ireland
Italy
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Malta
Moldova
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Federazione Russa
San Marino
Serbia
Slovakia
Slovenia
Spain
Sweden
Switzerland
Ukraine
United Kingdom
England
Northern Ireland
Scotland
Wales
America Del Nord
Messico
Giamaica
Honduras
Haiti
Nicaragua
Panama
United States
Saint Vincent e Grenadine
Saint Lucia
Saint Kitts e Nevis
Guatemala
Grenada
Belize
Barbados
Bahamas
Antigua e Barbuda
Canada
Costa Rica
El Salvador
Repubblica dominicana
Dominica
Cuba
Anguilla
Oceania
Australia
Timor orientale
Vanuatu
Tuvalu
Tonga
Isole Salomone
Stati federati di Micronesia
Isole Marshall
Kiribati
Figi
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Algeria
Angola
Benin
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Burkina Faso
Burundi
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Camerun
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Ciad
Comore
Repubblica del Congo
Gibuti
Egypt
Guinea equatoriale
Eritrea
Etiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Ivory Coast
Kenya
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Liberia
Libya
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Libano
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Uzbekistan
Vietnam
Yemen
Lingue
albanese
Bosnian
Bulgaro
Catalano
Croato
Ceco
Danese
Olandese
Inglese
Estone
Finnico
Francese
Tedesco
Greco
Ungherese
Islandese
Irlandese
Italiano
Lettone
Lituano
Macedone
Maltese
montenegrino
Norvegese
Polacco
Portoghese
Rumeno
Russo
Serbo
Slovacco
Sloveno
Spagnolo
Svedese
turco
Gallese
Argomento
European identity, citizenship and values
Cultural heritage
Digital content, technologies and practices