Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Émilie Pagé-Perron"'
Autor:
Christian Chiarcos, Ilya Khait, Émilie Pagé-Perron, Niko Schenk, Jayanth, Christian Fäth, Julius Steuer, William Mcgrath, Jinyan Wang
Publikováno v:
Information, Vol 9, Iss 11, p 290 (2018)
This paper describes work on the morphological and syntactic annotation of Sumerian cuneiform as a model for low resource languages in general. Cuneiform texts are invaluable sources for the study of history, languages, economy, and cultures of Ancie
Externí odkaz:
https://doaj.org/article/0be8641633e24c25b7af1292b8656894
Autor:
Anas Fahad Khan, Christian Chiarcos, Thierry Declerck, Daniela Gifu, Elena González-Blanco García, Jorge Gracia, Maxim Ionov, Penny Labropoulou, Francesco Mambrini, John P. McCrae, Émilie Pagé-Perron, Marco Passarotti, Salvador Ros Muñoz, Ciprian-Octavian Truica
This article provides a comprehensive and up-to-date survey of models and vocabularies for creating linguistic linked data (LLD) focusing on the latest developments in the area and both building upon and complementing previous works covering similar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55e2c7585843a51a64cf4f4f08eefbec
https://doi.org/10.5281/zenodo.6624913
https://doi.org/10.5281/zenodo.6624913
Autor:
Niko Schenk, Himanshu Choudhary, Rachit Bansal, Ravneet Punia, Jacob L. Dahl, Émilie Pagé-Perron
Publikováno v:
ACL (student)
Despite the recent advancements of attention-based deep learning architectures across a majority of Natural Language Processing tasks, their application remains limited in a low-resource setting because of a lack of pre-trained models for such langua
Autor:
William Mcgrath, Émilie Pagé-Perron, Jinyan Wang, Niko Schenk, Jayanth, Christian Chiarcos, Christian Fäth, Julius Steuer, Ilya Khait
Publikováno v:
Information
Volume 9
Issue 11
Information, Vol 9, Iss 11, p 290 (2018)
Volume 9
Issue 11
Information, Vol 9, Iss 11, p 290 (2018)
This paper describes work on the morphological and syntactic annotation of Sumerian cuneiform as a model for low resource languages in general. Cuneiform texts are invaluable sources for the study of history, languages, economy, and cultures of Ancie
Publikováno v:
LaTeCH@ACL
This paper presents a newly funded international project for machine translation and automated analysis of ancient cuneiform languages where NLP specialists and Assyriologists collaborate to create an information retrieval system for Sumerian. This r