Nat­ural Lan­guage Pro­cessing (NLP)

Natural Language Processing (NLP) is the computer-assisted processing of natural language. It uses Machine Learning (ML) techniques to enable computers to understand, interpret and generate natural language. NLP is a part of the process in which image, text and speech are processed as input data and converted into text, structured data or speech.

At TTZ, the focus is on combining rule-based linguistic analysis with innovative ML techniques to provide the computer with an understanding of language.

There is an increasing variety of emerging technologies that enable human-computer interaction and provide facilitation in both every day and professional contexts. NLP plays a crucial role in various fields, such as computer processing, machine translation, summarization, and speech recognition. Currently, Chatbots are achieving almost human-like interactions with users.

The goal is not only to enable the technology to evaluate texts numerically through ML, but also to develop capabilities that give the technology a certain level of language understanding. Given the fact that the pure application of ML lacks interpretability, verifiability, and abstract reasoning, incorporating linguistic analysis adds a new dimension to language understanding.