It can perform the following text analysis tasks: 1) named entity recognition (main component NER recognizer, F-80%), identifying such entities as personal names, company names, geographical names, expressions of time, quantities, monetary values, percentages, etc.
since there was no preceding experience in building such an NLP framework for Lithuanian, the exploitation of non-distributed LKSSAIS in real-life conditions has revealed that quality of service can be provided only on up to 3 billion word corpora.