While recent advances in language processing with Deep Neural Networks (DNNs) present high-quality translation and classification of the texts, the Holy Grail of the language learning remains missed. That is, while humans appear capable to acquire languages in unsupervised way based on everyday conversations easily, the DNNs require extensive supervised training. Moreover, the humans are capable to acquire explainable and reasonable rules of connecting words into sentences based on grammatical rules and conversational patterns and have the grammatical and semantic categories of words well understood, with all that synonyms and homonyms. On the opposite, the very advanced DNN models remain black boxes not being understandable and inspectable. That is why we are looking for Understandable Language Processing (ULP) which would let acquisition of the language, comprehension of textual communications and production of textual messages in reasonable and transparent way.