The next billion
Internet users want to communicate in their own native language
Building NLP in low-resource languages
Lack of Data
Deep Learning-based language technology requires large amounts of data, but these are not available for low-resource languages.
Lack of Research
Language technology research is predominantly focused on high-resource languages such as English, Spanish or French, leading to an exponential growth of applications live in these languages. Research on low-resource languages still has a long way to go.
Lack of Tools
A uniform production-grade software tool to develop any voice or text-based language technology applications for low-resource languages is missing.
"What if training an NLP model was as easy as clicking a button."
You can train, deploy and use your very own AI models
for language processing applications without any machine learning knowledge.
While you focus on your business problems,
NeuralSpace takes care of all your language processing needs.