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In addition to machine translation, there is also an accessible and complete English-Russian and Russian-English dictionary. [6] There is an app for devices based on the iOS software, [7] Windows Phone and Android. You can listen to the pronunciation of the translation and the original text using a text to speech converter built in.
Generative language models are not trained on the translation task, let alone on a parallel dataset. Instead, they are trained on a language modeling objective, such as predicting the next word in a sequence drawn from a large dataset of text. This dataset can contain documents in many languages, but is in practice dominated by English text. [36]
The Oxford Russian Dictionary is a Russian–English and English–Russian bilingual dictionary published by Oxford University Press. It is one of the largest such dictionaries by termbase . The dictionary had several editions over the years, edited by Boris Unbegaun , Paul Falla, Marcus Wheeler, Colin Howlett and Della Thompson. [ 1 ]
Literal translation, direct translation, or word-for-word translation is the translation of a text done by translating each word separately without analysing how the words are used together in a phrase or sentence. [1] In translation theory, another term for literal translation is metaphrase (as opposed to paraphrase for an analogous translation).
Like its predecessor, GPT-2, it is a decoder-only [2] transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as "attention". [3] This attention mechanism allows the model to focus selectively on segments of input text it predicts to be most relevant. [4]
a corpus of Russian poetry, where the rhyming words and poetic prosody (including meter, stanzas etc.) is additionally tagged; a corpus of Russian dialects with specific dialect grammar tagging; a multimedia corpus with searchable tagged fragments of Russian-language movies; a corpus showing the history of Russian stress
View a machine-translated version of the Russian article. Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia.
Attention is best described as the sustained focus of cognitive resources on information while filtering or ignoring extraneous information. Attention is a very basic function that often is a precursor to all other neurological/cognitive functions. As is frequently the case, clinical models of attention differ from investigation models.