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A taxonomy was defined after a qualitative analysis (coding process) of the textual answers.
From the textual answers and by using content analysis techniques [31], two outcomes were obtained: 1. SWOT Analysis (strengths, weaknesses, opportunities and threats) to solve implementation challenges 2.
Textual answers were categorised and counted.
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In response to one textual query, Carroll answered: "I'm very much afraid I didn't mean anything but nonsense!
Table 3 Other categories for analyzing external voices Category Question addressed Possible answers Examples textual integration How is the text incorporated?
The successive narrowing typically employs word and other feature matching, and ultimately dependency and role matching, and perhaps limited textual inference to verify answer candidates.
Therefore they should be taken into account as important factors affecting pedagogical effectiveness of PAVs, these features are: narrative and textual contents, feedback to students' answers and a student centered approach when designing PAV construction kits.
The most widely used approach was textual and verbal description together, answered by 5 respondents, which correspond to 33% of all question respondents.
Because she lacks such a corpus, however, and because questions about what she might have written that was philosophically significant or how much influence she might have had on Mill's intellectual career are so difficult to answer on purely textual grounds, the estimates of her intellectual powers formed by people who knew her must be taken into account.
Therefore, we applied Knowledge Discovery in the Textual Databases (KDT) process to answer the questions, "what kinds of defects are reported while inspecting a marine structure, and which of them are closely related?" In particular, we propose a concept extraction and linkage approach as an "add-on" module for the Self-Organizing Map (SOM), a clustering algorithm for document organization.
To answer the question, targeted textual pedagogies were replaced with text-plus-textual metaphors (T1)/text-plus-graphical metaphors (T2).
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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