The Twenty-first Annual Conference of the European Association for Machine Translation (EAMT) (EAMT 2018) will be held in Alacant/Alicante (Alacant in Catalan and Alicante in Castilian Spanish), Spain, from 28 to 30 May. The venue is a centuries-old building in the city centre.
Following Amazon’s announcement of its own neural machine translation (NMT) offering, the company’s machine learning scientists published a paper on research repository Arxiv.org that details the inner workings of Sockeye, their open-source, sequence-to-sequence toolkit for NMT.
Traductanet is taking part in the conference “Translation and the Computer 39”, being held from 16-17 November in London.
For some time, Google, Microsoft and Facebook have been making a transition to new machine translation engines- moving from phrase based statistical machine translation to neural machine translation. Facebook is the latest of these companies to have completed the process. With its new machine translation engine, it hopes to improve the accuracy of its translations and how natural they sound.
The Human vs. Artificial Intelligence Challenge, held at Sejong University in Seoul on 21st Feburary, saw human translators face off against machine translation engines.
In an early scene of the 2003 film “Lost in Translation”, Billy Murray’s character travels in a taxi through bustling Tokyo streets. He stares, open mouthed, at the brightly-lit signs, covered with symbols he cannot understand. Indeed, although linguistic barriers may create difficulties for all tourists the Japanese language’s use of 3 different writing systems, with thousands of different characters, may pose particular challenges.
The translation industry responds to changes in language, technology and societies. Translators and translation companies must react and adapt their services to the expectations of the customers in response to each development, to each paradigm shift.
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