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The test texts were presented in the initial screen of the program (top panel).
For each language, every category has 5,000 training texts and 5,000 test texts.
In our evaluation, the system achieved encouraging accuracies ranging from 77.12% to 91.08% on individual test texts.
The program asked the experiment subjects to compare a variety of test texts, (left side) of length L T with another set of comparison texts (right side) of length L C. The subjects were asked to indicate which text is longer.
A1 EDUCATION B8 Altering of Test Texts Halted The New York State education commissioner said literary passages in state tests would no longer be altered to delete references to race, religion, sex and other sensitive subjects.
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A test text message a friend sent hasn't reached my phone, either.
The test text (in Polish) was displayed on the computer screen (example in the upper panel of Figure 9).
We looked for the values of comparison text length for which the tested person would not be able to correctly asses in relation to the test text.
To test the modeling capabilities of the constructed language models, we evaluate perplexities on the test text in comparison with their perplexity on the training text.
Figure 7 The average represented text length 〈 L R 〉 as function test text of length L T for nine testers in Experiment 1.
Figure 7 of the average values of represented text lengths 〈 L R 〉 as functions of the test text length L T, for each of the testers in separate panels.
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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