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"To your wishes" or "health". Old-fashioned: after the second sneeze, "to your loves", and after the third, "may they last forever". More archaically, the translation is "God bless you". Merci or Merci, que les tiennes durent toujours (old-fashioned) after the second sneeze "Thank you" or "Thanks, may yours last forever" after the second sneeze
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.
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%).
Soon served as the global VP of innovation and as a corporate officer for VF Corporation from 2010 to 2016. [11] [12] [13] Prior to working at VF Corporation, he has also worked at The Clorox Company [14] He left his management position at Clorox to pursue a sales associate position at Crate & Barrel, taking an 85% pay cut and earning $5/hour to gain retail experience. [15]
Computer-assisted translation is a broad and imprecise term covering a range of tools. These can include: Translation memory tools (TM tools), consisting of a database of text segments in a source language and their translations in one or more target languages. [2]
Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.