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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1,651 to 1,660 of 1,816 Results
scottish-gaelic-test-covered
Mar 16, 2022 - Siganalogies - morphological analogies from Sigmorphon 2016 and 2019
Texte - 1.1 KB - MD5: 502eaa07aa2dc9dc04730881699fee48
scottish-gaelic-train-low
Mar 16, 2022 - Siganalogies - morphological analogies from Sigmorphon 2016 and 2019
Texte - 3.1 KB - MD5: 5b130d96ce5e0d97fc6702414d3a38a7
scottish-gaelic-train-low
Mar 16, 2022 - Siganalogies - morphological analogies from Sigmorphon 2016 and 2019
Texte - 3.1 KB - MD5: 5b130d96ce5e0d97fc6702414d3a38a7
scottish-gaelic-train-low
Mar 16, 2022 - Siganalogies - morphological analogies from Sigmorphon 2016 and 2019
Texte - 3.1 KB - MD5: 5b130d96ce5e0d97fc6702414d3a38a7
sig_2016.py
Mar 16, 2022 - Siganalogies - morphological analogies from Sigmorphon 2016 and 2019
Code source Python - 6.9 KB - MD5: 382a729eb25121b494e083f23e962778
sig_2019.py
Mar 16, 2022 - Siganalogies - morphological analogies from Sigmorphon 2016 and 2019
Code source Python - 22.9 KB - MD5: 7bf3141f7fcf29fcb6df1df851f85705
siganalogies_description.pdf
siganalogies_description.pdf
Mar 16, 2022 - Siganalogies - morphological analogies from Sigmorphon 2016 and 2019
Adobe PDF - 212.1 KB - MD5: 3610e84b333c3f03d1be876e4dce87d4
slovak-train-high
Mar 16, 2022 - Siganalogies - morphological analogies from Sigmorphon 2016 and 2019
Texte - 270.2 KB - MD5: 3ca6a24d2e4ed7c44d1dfefca27f5c9c
slovak-train-high-char.pkl
Mar 16, 2022 - Siganalogies - morphological analogies from Sigmorphon 2016 and 2019
Inconnu - 15.5 MB - MD5: 5f293e126690be47b955ee88b4e42248
slovak-train-high-none.pkl
Mar 16, 2022 - Siganalogies - morphological analogies from Sigmorphon 2016 and 2019
Inconnu - 15.5 MB - MD5: 0398f4372c28b4953e532e8ac50382cd
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