With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …

Text summarization is a process of generating a brief version of documents by preserving
the fundamental information of documents as much as possible. Although most of the text …

Text summarization can be classified into two approaches: extraction and abstraction. This
paper focuses on extraction approach. The goal of text summarization based on extraction …

In the recent few years, a lot of advancement has been made in Urdu linguistics. There are
many portals and news websites that are generating a huge amount of data every day …

Preprocessing, term selection, term weighting, sentence weighting, and sentence selection
are the main issues in generating extractive summaries of text sentences. Although many …

In this paper, we present a system for automatic English (L2) grammatical error correction. It
participated in ConLL 2013 shared tasks. The system applies a set of simple rules for …

Text summarization is an important activity in the analysis of a high volume text documents.
Text summarization has number of applications; recently number of applications uses text …

Research in automated creation of test items for assessment purposes became increasingly
important during the recent years. Due to automatic question creation it is possible to …

The main problem for generating an extractive automatic text summary is to detect the most
relevant information in the source document. For such purpose, recently some approaches …

Text summarization is the objective extraction of some parts of the text, such as sentence
and paragraph, as the document abstract. If there are documents with a large amount of …