Language has been one of the most fundamental ways of communication among people; it is regarded as the essential way of communication. Of course, language is not the only means of communication between people, but the need for language-based communication is critical especially when people are working and collaborating on tasks together. Communication becomes difficult in situations where people don’t understand each others’ language.
The need for a common language has been one that has usually been advocated for, but the chances of that happening are limited based on the difference in cultural heritage and history. When people travel to other countries that speak a different language either for vacation or work will mostly result in the use of human language translators which sometimes could prove expensive, inefficient, and not always available. One way of going around this language barrier is to go the route of a language translation device, and Smark might be your best tool for that.
Smark is a pure modular language translator device that is capable of real-time translation of 37+ languages using a simple, intuitive method. There are several ways of doing language translation, there are apps that do that, but Smark goes a step further in the language translation game. Smarks gives you that immersion experience, it gives the experience of a foreign culture and make one communicate like a local.
Smark can support 37+ languages. It provides on the go support for English, Spanish, Portuguese, French, German, Italian, Japanese, Korean, Arabic, Thai, Mandarin, Cantonese, Russian, Greek, Dutch, Polish, Danish, Finnish, Czech, Romanian, Swedish, Hungarian, Malay, and lastly Turkish and more.
Smarks brings back the memories of using walkie-talkies to communicate; it is an efficient way of two people trying to talk to each other. The device is separable and can be split into two halves providing back-&-forth sharing work like simple walkie-talkies making it very easy for anyone to use.
Spark is capable of speech recognition, machine translation and speech synthesis seamlessly and fluently in near real time. The device features a dual microphone at the two opposite ends accompanied with a trigger switch; recording can be done with any of the microphones. The product not only does Speech to Speech (S2S) but also Speech to Text (S2T). Spark translation and recognition is based on four main cloud translation engines, namely, Google Translate, Microsoft Translate, Baidu and Alibaba Translate Engines. In the future, it is believed Spark will provide offline translation capabilities to make it more accessible especially in the absence of network or for remote traveling.