Multilingual automatic text summarizer using statistical approach and extraction

Tool to extracts the text from a web article urls and get frequency words, entities recognition, automatic summary and more

Example application for the task of fine-tuning pretrained machine translation models on highly domain-specific, self-extracted translated sentences

It solves RTE (Recognizing textual entailment) problem using sentence extraction to cover semantic variation by extracting subject, predicate and object from each sentence.

Automatic Text Summarization

System make abstract of choosen documents (classic and keywords from IMS OSTIS)