Language AI

We will develop language technologies for imperfect Swiss German speech. These technologies are crucial to build AI applications for persons with speech disorders, e.g chatbots for children in speech therapy or diagnosis tools for patients with Parkinson’s Disease.

The project investigates the feasibility of AI-supported conversation simulations in XR for professional communication training. The innovative focus is on capturing and evaluating para- and nonverbal communication signals.

Jill & Jules are a two relatable AI characters who motivate young Swiss voters. By presenting referendums through interactive, informal conversations in Swiss German, Jill & Jules make complex or seemingly mundane topics accessible and engaging.

SwissNLP would like to take concerted action to better network Swiss players from industry, science and administration in the field of Natural Language Processing (NLP). For this reason various activities are to be carried out until the end of 2025 such as expert group meetings, applied conferences,…

We take first steps towards developing ChaLL, a voice-based chatbot that provides language learners with opportunities to practice speaking in both focused and unfocused task-based conversations and receive feedback, free from the time constraints and pressures of the traditional classroom setting.

The PRISM project focuses on detecting radicalization events in Social Media networks. Overall, we are interested in unveiling the mechanics that lead to the event of extremist ideology being transferred and incorporated into a social media user’s world view. Specifically, the proposed project aims…

The DOSSMA project will investigate suspicious and malicious behaviour on social media platforms. In a first phase, we will compile an extensive survey report on the areas that are currently being researched, including the respective state-of-the-art, existing solutions and initiatives. This report…

If children are questioned in preliminary proceedings about their own experiences or observations relevant to criminal law, it depends decisively on the quality of the questioning whether their statements can be used in criminal proceedings or whether decisions can be made on this basis and…

The project implements an online service for companies to monitor suppliers for violations ofenvironmental, social, or governance norms. To do so, a vast variety of sources, such as news outlets, is monitored using machine learning and natural language processing with near human-level accuracy.

Tamedia would like to develop a software system that automatically generates news articles from hockey game data.ZHAW will explore the different state-of-the-art technologies to evaluate the feasibility of developing a natural language system that generates rich contextual ice hockey game report…

This research project will investigate how a communication strategy for the marketing and communication of the diverse cultural activities and sites in the Lake Constance region could be shaped.For a sustainable strategy development the digitization of the communication, by which also the cultural…

The industrial project partner offers online brokering of loans, mortgages and insurances. The brokering process involves several phone calls of a call agent with a potential client. This is time-consuming and highly repetitive. For this reason, we want to develop a dialogue system which can take…

Entry, discharge, radiology and pathology reports and other clinical documents are a valuable resource to be harvested for precision medicine. They are typically stored in a free text format, only little structure is imposed and terminology is heterogeneous. We will apply natural language…

In the SCAI project, ZHAW and legartis investigate how content of contracts can automatically be evaluated legally by applying methods from the areas of Natural Language Processing and Deep Learning.

The LIHLITH project is a fundamental pilot research project which introduces a new lifelong learning framework for the interaction of humans and machines on specific domains. A Lifelong Learning system learns different tasks sequentially, over time, getting better at solving future related tasks…

Compared with earlier regulations, the 4th European Money Laundering Directive (MLD4) imposes rigorously increased requirements. It compels obliged entities to conduct in depth screenings of customers and their associations. The Libra Project aims at providing a one tool solution for meeting MLD4…

DeepText develops a software framework to automatically analyse texts in order to extract important information. The framework comprises modern algorithms from the field of machine learning (deep learning) that are better at analyzing texts than traditional approaches. They can for example be used…