LORIA

Le LORIA, Laboratoire lorrain de Recherche en Informatique et ses Applications est une Unité Mixte de Recherche (UMR 7503), commune à plusieurs établissements : le CNRS, l’Université de Lorraine et Inria. Depuis sa création en 1997, le Loria a pour mission la recherche fondamentale et appliquée en sciences informatiques. Le Loria est un des plus grands laboratoires de la région lorraine.

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1,011 to 1,020 of 1,816 Results

macg.tmLanguage.json May 9, 2022 - Meta-ACG preprocessor JSON - 1.9 KB - MD5: abad1173b173538815007de36b45bfd0
parser.py May 9, 2022 - Meta-ACG preprocessor Code source Python - 14.8 KB - MD5: 830ab1370b1245caaf5d3ce4168da912
README.md May 9, 2022 - Meta-ACG preprocessor Texte Markdown - 7.8 KB - MD5: 9348fde28817e77144dc7d92a7adfb0a
settings.py May 9, 2022 - Meta-ACG preprocessor Code source Python - 3.3 KB - MD5: eb0ad62eb0db3791b2c25cf9502109fc
tester.py May 9, 2022 - Meta-ACG preprocessor Code source Python - 32.3 KB - MD5: b3dac2db296e9ae44acab6a944c0cb8e
50macg.el Mar 25, 2022 - Meta-ACG preprocessor Inconnu - 212 B - MD5: 250f982883eb900d34fb95e830b20454 Emacs Lisp configuration file installing Emacs MACG Major mode
agreement.macg Mar 25, 2022 - Meta-ACG preprocessor Inconnu - 1.3 KB - MD5: ab9184fda69d3ea018be89225105ede0 Minimal MACG grammar exemplifying NP - VP agreement
package.json Mar 25, 2022 - Meta-ACG preprocessor JSON - 656 B - MD5: bd968f956dee030b644758368a27d549 VS Code configuration file for Emacs MACG mode
Siganalogies - morphological analogies from Sigmorphon 2016 and 2019 Mar 16, 2022 Marquer, Esteban; Couceiro, Miguel; Safa Alsaidi; Amandine Decker, 2022, "Siganalogies - morphological analogies from Sigmorphon 2016 and 2019", https://doi.org/10.12763/MLCFIE, Université de Lorraine, V1 The siganalogies dataset contains morphological analogies built upon Sigmorphon 2016 and Sigmorphon 2019 in PyTorch. An analogical proportion is defined as a 4-ary relation written A:B::C:D and which reads "A is to B as C is to D". In this dataset, we manipulate morphological ana...
abstract_analogy_dataset.py Mar 16, 2022 - Siganalogies - morphological analogies from Sigmorphon 2016 and 2019 Code source Python - 4.0 KB - MD5: 50300f82ab40d1a54a83afb3db16b46f

macg.tmLanguage.json