Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Tamás, Váradi"'
NooJ is both a corpus processing tool and a linguistic development environment: it allows linguists to formalize several levels of linguistic phenomena: orthography and spelling, lexicons for simple words, multiword units and frozen expressions, infl
Autor:
Toma Tasovac, Carole Tiberius, Claudia Bamberg, Andrea Bellandi, Thomas Burch, Rute Costa, Matej ?ur?o, Francesca Frontini, Julia Hennemann, Kris Heylen, Milo? Jakubí?ek, Fahad Khan, Anne Klee, Iztok Kosem, Vojt?ch Ková?, Ond?ej Matu?ka, John McCrae, Monica Monachini, Karlheinz Mörth, Tina Munda, Valeria Quochi, Andra? Repar, Christophe Roche, Ana Salgado, Henrike Sievers, Tamás Váradi, Sandra Weyand, Anna Woldrich, Susanne Zhanial
Publikováno v:
D5.3, 2022
The ELEXIS Curriculum is an integrated set of training materials which contextualizes ELEXIS tools and services inside a broader, systematic pedagogic narrative. This means that the goal of the ELEXIS Curriculum is not simply to inform users about th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::6fb711da91a160e995e3c00b6adde9af
https://publications.cnr.it/doc/463877
https://publications.cnr.it/doc/463877
Autor:
András, Holl1 holl.andras@konyvtar.mta.hu, Gábor, Prószéky2 proszeky.gabor@nytk.hu, Tamás, Váradi3 varadi.tamas@nytud.hu, László, Laki4 laki.laszlo@nytud.hu
Publikováno v:
Tudomanyos es Muszaki Tajekoztatas. 2023, Vol. 70 Issue 2, p164-167. 4p.
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030870065
ICCSA (7)
ICCSA (7)
The application of ensemble learning techniques is continuously increasing, since they have proven to be superior over traditional machine learning techniques in various domains. These algorithms could be employed for bug prediction purposes as well.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddfd615a9b8e4813c1174074ff432f1e
https://doi.org/10.1007/978-3-030-87007-2_26
https://doi.org/10.1007/978-3-030-87007-2_26
Autor:
Sina Ahmadi, John P. McCrae, Sanni Nimb, Thomas Troelsgård, Sussi Olsen, Bolette S. Pedersen, Thierry Declerck, Tanja Wissik, Monica Monachini, Andrea Bellandi, Fahad Khan, Irene Pisani, Simon Krek, Veronika Lipp, Tamás Váradi, László Simon, András Győrffy, Carole Tiberius, Tanneke Schoonheim, Yifat Ben Moshe, Maya Rudich, Raya Abu Ahmad, Dorielle Lonke, Kira Kovalenko, Margit Langemets
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::63b5bdbf0540246c25abc9b7e3a1347a
Publikováno v:
Topics in Intelligent Engineering and Informatics ISBN: 9783319959955
In the interaction between humans and computers as well as in the interaction among humans, topical units (TUs) have an important role. This motivated our investigation of topical unit recognition. To lay foundations for this, we first create a class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f0f5a2331e39aad3d530e432592338f
https://doi.org/10.1007/978-3-319-95996-2_1
https://doi.org/10.1007/978-3-319-95996-2_1
Autor:
Eszter Simon, Tamás Váradi
Publikováno v:
Magyar Tudomány.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::653185eaa1faade3c66e0bb63c1f9aff
https://doi.org/10.1556/2065.179.2018.7.9
https://doi.org/10.1556/2065.179.2018.7.9
This volume offers a selection of interface studies in generative linguistics, a valuable “one-stop shopping” opportunity for readers interested in the ways in which the various modules of linguistic analysis intersect and interact. The boundarie
Publikováno v:
2016 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
Understanding topical units is important for improved human-computer interaction (HCI) as well as for a better understanding of human-human interaction. Here, we take the first steps towards topical unit recognition by creating a topical unit classif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88abf0adc3e9f5c4c70ed63058b6e256
https://doi.org/10.1109/coginfocom.2016.7804549
https://doi.org/10.1109/coginfocom.2016.7804549
Autor:
Enikő Héja, Tamás Váradi
Publikováno v:
Magyar Terminológia. 4:226-237
Summary The aim of this paper is to confirm that the methodology used to extract one-token translation candidates from parallel corpora can be extended for the purposes of retrieving multi-word verbal structures. The relevance of this technique from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de1afda619000068767223a512469cca
https://doi.org/10.1556/materm.4.2011.2.10
https://doi.org/10.1556/materm.4.2011.2.10