Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sergey Gubanov"'
Autor:
Sergey Gubanov
Publikováno v:
Philology & Human. :19-31
The article deals with the ways of actualization a feature by means of attributive constructions in the texts of M. Tsvetaeva. Structural and semantic means of promoting an attribute, to characterize the semantic features of both the definition (epit
Publikováno v:
E3S Web of Conferences, Vol 177, p 03008 (2020)
In this paper, we consider the crack propagation in the rocks during sinking depending on the distance between the cutters. Under the same conditions, the hard and soft rocks form various fracture networks that leads to uneven sinking and decrease in
Autor:
Andrey Klepach, Viktor Ryazanov, Andrey Polynev, Gennadiy Kuranov, Anatoliy Barkovskiy, Evgeniy Bukhval'd, Lyudmila Rzhanitsyna, Sergey Gubanov, Aleksey Shlikhter, Sergey Chernykh, Yuriy Cheremnykh, Robert Chvanov, Natal'ya Figurnova, Mariya Fedorova, Lyubov' Strizhkova, Svetlana Solyannikova, Irina Soboleva, Eduard Sobolev, Irina Smotritskaya, Valeriy Radaev, Galina Pushkareva, Yuliy Ol'sevich, Lev Nikiforov, Anatoliy Neshitoy, Ivan Medvedev, Viktor Martsinkevich, Oleg Lavrushin, Valeriy Kushlin, Valentin Kudrov, Yuriy Kokin, Yuriy Ivanov, Nataliya Zvereva, Evgeniy Zhil'tsov, Evgeniy Egorov, Ruslan Grinberg, Eduard Girusov, Aleksandr Vilenskiy, Aleksandr Varshavskiy, Vladimir Varnavskiy, Sergey Bobylev, Vyacheslav Bobkov, Nikolay Akhapkin, Vladimir Andrianov, Marina Abramova, Pol' Savchenko
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcf3189e71f1ef8fb61a707157ff91b0
https://doi.org/10.12737/19918
https://doi.org/10.12737/19918
Publikováno v:
WMT
We describe the English-Turkish and Turkish-English translation systems submitted by Yandex School of Data Analysis team to WMT16 news translation task. We successfully applied hand-crafted morphological (de-)segmentation of Turkish, syntax-based pre
Publikováno v:
ACL (2)
Noisy channel models, widely used in modern spellers, cope with typical misspellings, but do not work well with infrequent and difficult spelling errors. In this paper, we have improved the noisy channel approach by iterative stochastic search for th