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For documents, use ".doc," ".ppt," ".xl" and ".pdf," to find Microsoft Word, PowerPoint, and Excel files and Adobe PDF files.
We will search the websites for documents using relevant keywords (table 1), and then search for the keywords within the found documents to identify relevant information.
The websites, search engine and catalogue will be searched for documents using selected, common keywords from the online supplementary appendix A and then the found documents will be searched for appropriate keywords to identify relevant information.
The size of the training data set was used to control the number of documents used for pattern generation.
The list of documents used for evaluation is provided in an additional file [see Additional file 1].
For a formal or business document use a common, serious font, such as Arial or Times New Roman.
A python client is provided with documented use cases for all the current functionalities.
The text document used for the acoustical rendition contained approximately 1000 words.
The SEER-Medicare database has been described in detail (Klabunde et al, 2000) and has been validated previously for documenting the use of surgery (Cooper et al, 2002) and chemotherapy (Warren et al, 2002).
These tagged image words are then used to search for text documents using Google search.
This paper presents an automatic text summarizer for text documents using soft computing approach, consisting of SVO (Subject, Verb, and Object) Rules and Tag based training.
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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