Evis Trandafili
ABSTRACT
Summarization is a Natural Language Processing application that may seem trivial to a person, but in a time where the quantity of information provided is continuously growing, the possibility of implementing a "helper" in order to summarize it, has become a necessity. Most of the existing scientific studies in automatic text summarization has been paying attention primarily to English with only some recent attempts in other major languages. To the best of our knowledge, no prior approaches handle automatic summarization for Albanian documents. This paper is proposed to fill this gap by implementing a novel extractive summarization system, designed specifically for Albanian Language. We showed experimentally that the enrichment of the summarization system with language-dependent elements improves the systems' performance and the compression rate.
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Index Terms
- A Novel Document Summarization System for Albanian Language
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