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That's how Textio, a startup that analyzes text for how well words and phrases perform in certain scenarios, was born.
It is interesting to ask how well words can be identified by their activation when the voxels used by the classifier are selected on the basis of only one of the factors.
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The interpretability of the methodologies depends on how well word semantics is represented by fuzzy sets, which in practice are designed based on human-user's intuition.
They were the lyricists, they said, listening to hear how well their words fit the tune the composers had written.
Respondents were asked how well certain words described the president.
Similarly Allen and Hulme (2006) found that word concreteness, word frequency, and word phonological neighborhood size all affected how well spoken word lists could be repeated.
It was only when we saw how well these word frequencies were doing to predict word processing times for thousands of words [12], [13] that we started to appreciate their potential.
Each odor was assessed by human subjects, who were given a list of 146 words and asked to rate how well each word described the odor.
A quantitative relation between the two approaches can be established by using multiple regression to determine how well each word's co-occurrences with the 25 verbs can account for the word's three semantic factor scores (separately).
But no matter how well the word choice works for his purpose, it is not Mr. Stone's choice to make.
The goal of the test phase is to assess whether prior retrieval practice affects how well the unpracticed related words are remembered compared to the unpracticed unrelated words.
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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