no code implementations • 4 Dec 2022 • Jörg Tiedemann, Mikko Aulamo, Daria Bakshandaeva, Michele Boggia, Stig-Arne Grönroos, Tommi Nieminen, Alessandro Raganato, Yves Scherrer, Raul Vazquez, Sami Virpioja
This paper presents the OPUS ecosystem with a focus on the development of open machine translation models and tools, and their integration into end-user applications, development platforms and professional workflows.
1 code implementation • 22 Feb 2022 • Alex Shonenkov, Andrey Kuznetsov, Denis Dimitrov, Tatyana Shavrina, Daniil Chesakov, Anastasia Maltseva, Alena Fenogenova, Igor Pavlov, Anton Emelyanov, Sergey Markov, Daria Bakshandaeva, Vera Shybaeva, Andrey Chertok
In the report we propose six new implementations of ruCLIP model trained on our 240M pairs.
no code implementations • 4 Dec 2021 • Alex Shonenkov, Daria Bakshandaeva, Denis Dimitrov, Aleksandr Nikolich
This technical report presents a text-to-image neural network "Emojich" that generates emojis using captions in Russian language as a condition.
1 code implementation • 22 Nov 2021 • Daria Bakshandaeva, Denis Dimitrov, Vladimir Arkhipkin, Alex Shonenkov, Mark Potanin, Denis Karachev, Andrey Kuznetsov, Anton Voronov, Vera Davydova, Elena Tutubalina, Aleksandr Petiushko
Supporting the current trend in the AI community, we present the AI Journey 2021 Challenge called Fusion Brain, the first competition which is targeted to make the universal architecture which could process different modalities (in this case, images, texts, and code) and solve multiple tasks for vision and language.
1 code implementation • 16 May 2019 • Vadim Fomin, Daria Bakshandaeva, Julia Rodina, Andrey Kutuzov
The paper introduces manually annotated test sets for the task of tracing diachronic (temporal) semantic shifts in Russian.