Pronoun Replacement Approach for Enhancing Arabic Text Summarization

The world witnessed massive and unprecedented growth in the amount of information available online. Identifying and consuming needed content has been difficult and time-consuming. Therefore, automatic text summarization to obtain accurate and relevant collections of the vast amount of available information is essential. Methodologies for automatic summarization of Arabic text remain immature, due to the complexity inherent in the Arabic language in terms of structure and morphology. The summarization process is based on the frequency which the trainer used to fetch important sentences to compute the keywords weightage that aims to construct the summary. This study proposes replacing pronouns with proper nouns before applying the Arabic text summarizer. This enhances the quality of the summarization process and helps reader better understand the summary.