Data preprocessing is among the principal stages in virtually all text-based tasks. In this
light, recent approaches have employed word embeddings in the majority of text-based …

Drawing from a common lexicon of semantic units, humans fashion narratives whose
meaning transcends that of their individual utterances. However, while brain regions that …

The ensemble clustering tries to aggregate a number of basic clusterings with the aim of
producing a more consistent, robust and well-performing consensus clustering result. The …

This paper discusses the importance of language processing and its challenges. It first
defines low resource languages and their influencing factors. Then talking about the Persian …

Retrieving relevant documents from a large set using the original query is a formidable
challenge. A generic approach to improve the retrieval process is realized using pseudo …

With the growth of Internet usage, a massive amount of textual data is generated on social
media and the Web. As the text on the Web are generated by different authors with various …

Natural language processing (NLP) techniques can prove relevant to a variety of specialties
in the field of cognitive science, including sentiment analysis. This paper investigates the …

This paper discusses the main challenges and open problems in processing Persian texts.
Persian is among less resourced, less studied languages from computational point of view. It …

The Persian language, also known as Farsi, is distinguished by its intricate morphological
richness, yet it contends with a paucity of linguistic resources. With an estimated 110 million …

Automatic spelling correction stands as a pivotal challenge within the ambit of natural
language processing (NLP), demanding nuanced solutions. Traditional spelling correction …