I work in a laboratory specialized in Artificial Intelligence that belongs to Naver (NLE). These two languages are used in many research projects, especially for document processing before applying ML methods. We used Tamgu for instance in Machine Translation and in Sentiment Analysis. We have also published in the past datasets for conference papers, that required the tools to be open source, so that people could reproduce our experiments. This year for instance, we used the Prolog engine in Tamgu to produce a dataset to train a transformer on inference.
The process to make them open source was quite thorough and quite painful, but I cannot complain.
The case of LispE is little bit different, I created it to have a more flexible platform to experiment with functional features, which I could not do with Tamgu, which is too large now.
The blogs are simply a way to make these tools more visible, and since I'm French, I usually write them in English and French.