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Output of DenseCap "dense captioning" software, analysing a photograph of a man riding an elephant. Automatic image annotation (also known as automatic image tagging or linguistic indexing) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image.
Image translation is the machine translation of images of printed text (posters, banners, menus, screenshots etc.). This is done by applying optical character recognition (OCR) technology to an image to extract any text contained in the image, and then have this text translated into a language of their choice, and the applying digital image processing on the original image to get the ...
A DMT system is designed for a specific source and target language pair and the translation unit of which is usually a word. Translation is then performed on representations of the source sentence structure and meaning respectively through syntactic and semantic transfer approaches. A transfer-based machine translation system involves three ...
Example-based machine translation (EBMT) is a method of machine translation often characterized by its use of a bilingual corpus with parallel texts as its main knowledge base at run-time. It is essentially a translation by analogy and can be viewed as an implementation of a case-based reasoning approach to machine learning .
Aq Bars (or Ak Bars) (Tatar: Ак Барс; Russian: Ак Барс) is the emblem of Tatarstan.It is an ancient Bulgar symbol translated as "White Leopard" or "Snow Leopard", and has been in use since 1991 as the official symbol of Tatarstan.
Snow leopard on the reverse of the old 10,000-Kazakhstani tenge banknote Emblem of Tatarstan, depicting the Aq Bars, a mythical winged Snow leopard. The snow leopard is widely used in heraldry and as an emblem in Central Asia. The Aq Bars ('White Leopard') is a political symbol of the Tatars, Kazakhs, and Bulgars.
The first step in scanlation is to obtain the "raws" or the original content in print form, then to scan and send the images to the translator and the cleaner. The translator reads original text from the raws and translates into the desired language of release, then sends the translated text to a proof-reader to check for accuracy.
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