A Study on Abstractive Summarization Techniques in Indian Languages

Natural Language Processing is a vast area which has great importance when people started to interpret human language from one form to another. Summarization is one of the research works in NLP which concentrates on providing meaningful summary using various NLP tools and techniques. Since huge amount of information is used across the digital world, it is highly essential to have automatic summarization techniques. Extractive and Abstractive summarization are the two summarization techniques available. A lot of research works are being carried out in this area especially in extractive summarization. Even though more works are carried out using extractive method, meaningful summary can be attained using abstractive summary techniques which make it more complex. In Indian languages, very few works are carried out in the field of abstractive summarization and there is high need for having research works being carried out in this area. Here, we are concentrating on the various techniques available for abstractive summarization and also try to explain the limited works currently available in abstractive summary field of Indian languages.