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A number of computer-assisted translation software and websites exists for various platforms and access types. According to a 2006 survey undertaken by Imperial College of 874 translation professionals from 54 countries, primary tool usage was reported as follows: Trados (35%), Wordfast (17%), Déjà Vu (16%), SDL Trados 2006 (15%), SDLX (4%), STAR Transit [fr; sv] (3%), OmegaT (3%), others (7%).
DeepL for Windows translating from Polish to French. The translator can be used for free with a limit of 1,500 characters per translation. Microsoft Word and PowerPoint files in Office Open XML file formats (.docx and .pptx) and PDF files up to 5MB in size can also be translated.
It works with the XLIFF standard, after having extracted texts from a variety of file format. [1] [2] It stores translation memory in an internal database and can export it in the standard TMX format; import is also possible. [3] A server, RemoteTM, can be used instead of the internal database if sharing is needed.
Reverso is a French company specialized in AI-based language tools, translation aids, and language services. [2] These include online translation based on neural machine translation (NMT), contextual dictionaries, online bilingual concordances, grammar and spell checking and conjugation tools.
One of its authors, Jakob Uszkoreit, suspected that attention without recurrence is sufficient for language translation, thus the title "attention is all you need". [29] That hypothesis was against conventional wisdom at the time, and even his father Hans Uszkoreit , a well-known computational linguist, was skeptical. [ 29 ]
It was bootstrapped by EkStep Foundation in late 2019 as a solution to enable easier translation of legal documents from English to Indic languages & vice-versa. Creating Anuvaad platform allowed legal entities to digitize & translate the Orders/Judgements using an easy to use user interface.
T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1] [2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.
Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation.
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