Google translate bot software#

'It's for sure something I spend a lot of time thinking about and can quite quickly escalate to a philosophical question of the nature of the myth of Sisyphus.

'At the rare times of when the conversation manages to break out of the loop of superficial smalltalk or comedy/absurdity it quite often tended to take quite a philosophical or political spin which I guess is also a reflection of people's fascination of discussing philosophy and politics with a computer.' But in this case the input/output is also distorted through the layer of Google Translate which obviously adds to the absurdity.'Īlong with this comical aspect, which is often found when two chatbots converse after soaking up human influence, Eltes also noted a further direction the dialogue would take. 'It outputs what the machine learning algorithm thinks is the most appropriate reply to the input based on what people have replied to a similar input before. 'The rest of the conversation is a real-time reflection of millions of conversations between humans and the Cleverbot chatbot,' Eltes tells Creators. The conversation is begun with the Swedish bot saying 'Hello' ('Hej') and then off they go. In addition, the system is designed to ‘learn’ from any human corrections so it can only improve with time.Eltes explains that the setup uses two Cleverbot chatbots with conversations running on Raspberry Pis communicating via Node.js web server and Socket.IO for real-time. The guide publishers said 70% of the machine-translated text was accurate, allowing them to speed up the work of the human translators, who remain ultimately in charge.

Google translate bot software#

She said only one client had come to her with a machine-translated text for correction, and says most of the time assermenté (sworn) translators work using original documents.Īdvances in translation software and systems were highlighted when the French travel guide Petit Futé sold four million books in Mandarin with the translation work carried out by Systran’s automatic system.

“There is so much knowledge and history which has to be understood that I am sure humans will be used for many years to come for legal and technical translation.” “Artificial intelligence is being used to get cars to drive by themselves, but that is simple compared to having to translate legal documents,” translator Myriam Barbier from La Rochelle told Connexion. Sales and marketing director Gaëlle Bou said: “What’s exciting about this project is its humanity: the best of technology in semantic research, AI and neural translation, serving patients and giving quality medical care.”ĭespite this, human translators do not see their jobs threatened, especially in legal and other complex fields – including medical areas. The results said “90% of the neural machine translated text was ‘grammatically awkward,’ or “never the kind of translation produced by an educated native speaker.”Įven so, Systran is upbeat on the potential of its chatbot. However, AI translation cannot yet improve upon the work of human translators.Ī test in South Korea this year pitted machine translation against humans, translating texts from Korean to English and vice versa. Like Systran’s chatbot, Google Translate and other online translation software such as DeepL uses NMT to give reasonably accurate translations most of the time, at least in the main European languages. However neural machine translation (NMT) – where computers learn without being programmed – saw a move from a focus on words and phrases to their use in context, and gives much better and appropriate translations. While still sometimes clunky and with occasional howlers, translations were so bad when Google launched Translate they were funny.Įarly systems were based on statistical translation (ST) systems recognising and translating words and texts using a set of rules.