"the given text" is a perfectly acceptable phrase in written English, and can be used in many different contexts.
For example, "After conducting a thorough review, we found that the analysis in the given text was incorrect."
In order to extract easy to understand summary from the given text, an improved differential evolution algorithm is proposed.
The idea is to improve the readability of the given text for reading difficulties using assistive summary.
Each writer copied a given text in the normal writing style on page 1 while on page 2 the writers copied the given text using only uppercase letters.
It stores all the nouns and noun phrases extracted from the given text of users, along with their generated question-lists in an XML file.
After a close look in the cases of disagreement with the evaluations in the Gold standard, we realized that other interpretations could be possible for the given text, finding cases of sentences with mixed polarity.
One of the approaches is to treat the short text as a web query and enrich the given text with the results from the search engine to that query (e.g titles of web page and snippets) [8 10].
To facilitate subset-seed queries, we would like to sort the suffixes of a given text under a given mask.
Vowels are present in every word in English and represent almost 40% of the words in a given text.
Developmentally, beginning readers are in the stage of vocabulary building and rely much on word semantic cues to comprehend the meaning of given texts.
Recently I noticed that one of the modules for giving text directions would pop off, leaving me with just the map.
