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dc.contributor.author Sprugnoli, Rachele
dc.contributor.author Passarotti, Marco
dc.contributor.author Moretti, Giovanni
dc.date.accessioned 2023-07-13T09:34:13Z
dc.date.available 2023-07-13T09:34:13Z
dc.date.issued 2021
dc.identifier.uri http://hdl.handle.net/20.500.11752/OPEN-996
dc.description Lemma embeddings for Latin built from the LASLA corpus (Opera Latina) and the Index Thomisticus (Opera Maiora).
dc.language.iso lat
dc.publisher CIRCSE Research Centre, Università Cattolica del Sacro Cuore
dc.relation info:eu-repo/grantAgreement/EC/H2020/769994
dc.relation.isreferencedby http://ceur-ws.org/Vol-2481/paper69.pdf
dc.rights Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.label PUB
dc.source.uri https://embeddings.lila-erc.eu/
dc.subject Latin
dc.subject Lemmatization
dc.subject historical annotated corpora
dc.subject Embeddings
dc.title Lemma Embeddings for Latin
dc.type lexicalConceptualResource
metashare.ResourceInfo#ContentInfo.detailedType other
metashare.ResourceInfo#ContentInfo.mediaType text
has.files yes
branding OPEN
demo.uri https://embeddings.lila-erc.eu/
contact.person Rachele Sprugnoli rachele.sprugnoli@unipr.it Università di Parma
contact.person Marco Carlo Passarotti marco.passarotti@unicatt.it CIRCSE Research Centre, Università Cattolica del Sacro Cuore
sponsor European Union EC/H2020/769994 LiLa - Linking Latin. Building a Knowledge Base of Linguistic Resources for Latin euFunds info:eu-repo/grantAgreement/EC/H2020/769994
size.info 31000 words
files.size 9848614571
files.count 2


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LemmaEmbeddings_for_Latin_Readme.txt
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LemmaEmbeddings_for_Latin_Readme
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This file contains Lemma Embeddings for Latin distributed as follows:
OperaMaiora contains embeddings trained on the corpus of Thomas Aquinas (philosophical and religious works);
Aligned contains the alignment of embeddings of OperaLatina (corpus of works from different Classical authors) and OperaMaiora;
fasttext contains embeddings based on the vector representation fast-Text;
word2vec contains embeddings based on the vector representation wor2vec. . . .
                                            
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LemmaEmbeddingsForLatin.tgz
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This file contains Lemma Embeddings for Latin distributed as follows: OperaMaiora contains embeddings trained on the corpus of Thomas Aquinas (philosophical and religious works); Aligned contains the alignment of embeddings of OperaLatina (corpus of works from different Classical authors) and OperaMaiora; fasttext contains embeddings based on the vector representation fast-Text; word2vec contains embeddings based on the vector representation wor2vec.
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46655744302e1ca3ba28e57809d46d16
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