Language has been the catalyst for the development of societies, the facilitator of new ways of thinking, and communication has been essential to the evolution of the species. In recent years, automatic analysis tools have been developed that have  perfected the interpretation of both spoken and written language. Through the efficient processing and analysis of large amounts of information and the techniques of artificial intelligence and machine learning, we are able to bring new uses to both written and spoken language.

Gradiant’s language technologies focus on generating text and analysing and processing natural language.

Natural Language Processing (NLP) and Natural Language Understanding (NLU)

We develop tools for natural language processing (NLP) at Gradiant. From interpreting information conveyed by written or spoken text to managing large volumes of big data, NLP is an essential tool for solutions related to segmentation, opinion analysis, and online reputation. Moreover, thanks to the linguistic technologies researched and developed at Gradiant, combined with Artificial Intelligence (AI) techniques, these technologies make it possible to obtain and understand content, requests or questions from users in a faster and more comprehensible way.

In addition, we make it easier for researchers and software developers to use these tools in their studies and in creating services, we promote the accessibility of knowledge in different languages, and we have techniques that allow us to process relevant information, provide accurate translations, and categorize text.


Natural Language Generation (NLG)

Our language technologies, tools and applications developed in the field of language are not only used to analyze already written texts. For the generation of specialized texts, we have always worked on artificial intelligence and machine learning. The versatility of their use in different fields is currently being studied at a time when this type of technology is a growing trend.

En Gradiant ofrecemos soluciones con tecnologías del lenguaje a empresas y administraciones públicas