The phrase "simplified text" is correct and commonly used in written English
It can be used to describe a text or document that has had the complexity of language reduced to enhance clarity and understanding. For example, "The original version of the document was filled with jargon and technical terms, but after simplifying the text, it was much easier for everyone to understand."
Simplified text and simplified register (e.g., foreigner talk) have many elements in common.
Besides issues with structures, there are many other reasons to avoid using an overly simplified text representation when properties are being included.
Easy Read - The Easy Read format uses pictures to supplement the meaning of text, has simplified text and enlarged fonts.
iSimp can be used as a preprocessing module to provide simplified text to enhance the performance of NLP systems and text mining (TM) applications.
In RR, readers read a simplified text repeatedly to help automatize word recognition, leaving more cognitive resources for higher order comprehension processes.
Discussion: The results of this study indicate that an interactive training method, de novo knowledge base with no external data sources, and simplified text mining processes can achieve a comparably high performance in classifying health-related texts.
The findings of these studies revealed no significant difference when it comes to the impact of reading elaborated and unmodified content on L2 vocabulary acquisition, and between reading elaborated and simplified texts.
This approach simplifies text representation and reduces the dimensionality of the feature space.
It uses statistical computation method to analyze a mass of text sets, thereby extracts latent semantic structure between words, and employs this latent structure to represent words and texts so as to eliminate the correlation between words and reduce dimensionality by simplifying text vectors [17].
To simplify text, results from geneclass2 analysis are referred to as mixture proportions and those from structure are referred to as admixture proportions.
We present a description of the challenge and summary of results, demonstrating how curation groups can effectively use interoperable NER technologies to simplify text-mining pipeline implementation.
