Project summary

The goal of the ADAMo project is to create a text classifier that can identify texts produced by artificial intelligence (AI). Even though language specific features will be employed, the resulting solution will be a language-independent one. Given the existence of similar resources in other languages, new neural models can be trained to detect AI-generated texts in other languages. We will use the representative corpus of the contemporary Romanian language (CoRoLa), containing more than 1 billion words (in written and spoken texts) as original data for training the classifier. In order to cope with the language varieties in Romania and Moldova, CoRoLa will be enriched with at least 15M tokens of high quality texts, with cleared intellectual property rights, from Moldova, following the design principles of the original data collection, metadata construction, levels of annotation. The whole corpus will also undergo syntactic parser, so as to capture similarities and differences at more linguistic levels and, thus, to be a valuable resource for the study of the two varieties.