Powered by a linguistic approach, the future of natural language processing will enable human-like understanding through a wide range of applications. Thanks to Bitext NLP technologies, that far future is closer than expected. Bitext solutions are fully oriented to the current needs of many forward-looking companies relying on cutting-edge techniques ranging from sentiment analysis tools to a generation of artificial training data. After years of hard work in the field of the automation of customer support, Bitext developed the most advanced API ever seen and several conversational agents for innovative enterprises as, for instance, TechCrunch.
Google’s smart speaker, Google Home, has recently learned a new language. Launched at the end of June this year, Google Home is now speaking Spanish. As real as life itself, Spanish speakers can now listen to all summer hits without lifting a finger, or even look for restaurants nearby by indirectly saying, ‘Ok Google, tengo hambre’. This language update may serve to gain ground in the market of artificial intelligence-powered devices since Spanish is the second most widely spoken language in the world. Notwithstanding, Google Home's Spanish skills leave much to be desired. Bitext team has been testing it and, as a matter of fact, there is still room for improvement.
Bots built upon machine learning need long training processes to have the ability to hold a meaningful conversation with real people. Training data becomes, therefore, a diamond in the rough; all companies need such input for their bots. Until now, this data was generated in a slow manual way. However, speeding up your bot training can now come true with artificially generated data.
Scientific language knowledge is a complement, or an alternative, to statistically-only motivated language analysis, that is why Bitext comes up as the right framework to use for Machine Intelligence.
2016 has been a very successful year for Artificial Intelligence and for Machine Learning, however both fields have an incredible potential to grow, and that is what we expect to see in this newly started year.