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We propose a method for computing semantic relatedness between words or texts by using knowledge from hypertext encyclopedias such as Wikipedia.
This study evaluated the performance of university students who learned science texts by using, information communication technologies (ICT) including animation, static figures, power point, and e-plus software.
Future research is also suggested to create new reading comprehension tests that allow for comparison of student's performance in narrative and expository texts, by using the same research sample so that narrative and expository test forms for each grade can be vertically scaled with each other.
Yao Shu (1201 1278), an advisor to Kublai Khan, once persuaded a disciple Yang Gu to print philological primers and Neo-Confucian texts by using what he termed the "movable type of Shen Kuo".
On the other hand, the disease gene resistance possesses many bio-specific properties which make it clear and convenient to locate resistance through texts by using key phrase matching during text mining.
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Then, the RPS generator translates the problem representations into the text by using templates.
In this paper, we attempt to consider the intrinsic characteristics of the text by using the stroke filter and design a new and robust algorithm for text segmentation.
They identify code-like terms from free-form text by using lightweight regular expressions and from code fragments by using partial program analysis (PPA).
They discuss the evolution of opinion mining, which had primarily focused on extracting or summarizing the opinions from text by using Natural Language Processing NLPP).
Nonetheless, he in fact created a new understanding of the text by using the annotations to impose new notions of temporality, causality, and intentionality on the often fragmented narrative strands that make up the original story.
The encrypted text passes through a communicative channel of two individuals and the second person could decrypt the text by using the key and the text is converted into a context text.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com