This chapter synthesizes the most prominent Natural Language Processing (NLP) studies
conducted on Persian, focusing on text processing. The first section contains selected tasks …

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 …

This companion provides an overview of current work in the areas of Persian Computational
Linguistics (CL) and Natural Language Processing (NLP). It covers a great number of topics …

Data is said to be the new oil. This applies to textual data as well. The amount of plain
textual data on the Internet is abundant, and it is still growing. However, similar to oil, raw …

Many NLP applications need fundamental tools to convert the input text into appropriate
form or format and extract the primary linguistic knowledge of words and sentences. These …

Abstract This paper describes Persianp Toolbox, an integrated Persian text processing
system and easily used in other software applications. The toolbox which provides …

ParsiPardaz Toolkit (Persian Language Processing Toolkit), which is introduced in this
paper, is a comprehensive suite of Persian language processing tools, providing many …

This research paper explored natural language processing, word parsing, and meaning in
terms of their implications for high-speed computing. Furthermore, it aimed to understand the …

This two-volume set, consisting of LNCS 8403 and LNCS 8404, constitutes the thoroughly
refereed proceedings of the 14th International Conference on Intelligent Text Processing …

Many NLP applications need a pre-processing task to convert the input into an appropriate
form or format. The preprocessing may include segmentation of text into sentences, words …