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DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne-based DeepL SE. The translating system was first developed within Linguee and launched as entity DeepL .
RoboBraille is a web and email service capable of converting documents into a range of accessible formats including Braille, mp3, e-books and Daisy.The service can furthermore be used to convert otherwise inaccessible documents such as scanned images and pdf files into more accessible formats.
Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...
Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface , a mobile app for Android and iOS , as well as an API that helps developers build browser extensions and software applications . [ 3 ]
Download as PDF; Printable version; In other projects ... translator of Names of the Lion by Ibn ... Text is available under the Creative Commons Attribution ...
(For instance, it is straightforward to convert from Hindi numerals to Arabic numerals.) Another issue that arises is how to handle transliterating Arabic text with embedded ASCII text; for instance, an Arabic sentence that refers to "IBM" or an Arabic sentence that includes a quote in English.
The Arabic-German dictionary was completed in 1945, but not published until 1952. [4] Writing in the 1960s, a critic commented, "Of all the dictionaries of modern written Arabic, the work [in question] ... is the best." [5] It remains the most widely used Arabic-English dictionary. [6]
Arabic is one of the major languages that have been given attention by machine translation (MT) researchers since the very early days of MT and specifically in the U.S. The language has always been considered "due to its morphological, syntactic, phonetic and phonological properties [to be] one of the most difficult languages for written and spoken language processing."
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