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Twitter is many things to many people, but lately it has been a gold mine for scholars in fields like linguistics, sociology and psychology who are looking for real-time language data to analyze.
The most popular reader-submitted prediction came from Roy in Italy, who wrote that by 2020, "Google will provide everyone with the ability to communicate with everyone else, regardless of the specific language they speak, via their smartphone, with real-time language translation".
But in the last few years we have seen that the combination of machine learning, powerful algorithms, vast processing power and so-called "Big Data" can enable machines to do very impressive things – real-time language translation, for example, or driving cars safely through complex urban environments – that seemed implausible even a decade ago.
They also mentioned that the power is there to eventually enable real-time language translation.
AORTA has been proposed as an implementable real-time language for concurrent systems where event times, rather than values of data, are critical.
Our system is currently implemented at a prototype level only, which may in practice limit its use to applications that do not require real-time language generation.
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Furthermore, we show how the framework can be implemented in the general-purpose coordination language MANIFOLD without the need for using special architectures or real-time languages.
For example, the company claims that a 10-gigahertz microprocessor will have sufficient power to do real-time speech recognition and language translation.
In real time, language always fails me.
Accordingly, four subsets of a real time language suitable for the implementation of safety related systems are proposed, whose definitions fulfil the respective requirements of the four Safety Integrity Levels.
We present an implementation of real time, language independent lip synchronization based on the classification of the speech signal, represented by MFCC vectors, into visemes using neural networks (NNs).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com