The phrase "appear in a large" is not complete and lacks context, making it difficult to assess its correctness in written English.
It could be used in contexts where you are describing something that is visible or noticeable in a large quantity or size, but it needs additional information to be fully clear.
Example: "The results of the survey appear in a large number of responses from participants."
Alternatives: "show up in a significant" or "manifest in a considerable".
Spatial correlation matrices appear in a large variety of applications.
Hints, and more than hints, of homosexuality appear in a large number of his paintings.
Conical functions appear in a large number of applications in physics and engineering.
All four of the weapons not only appear in a large number of videos from that region, but also appeared to play a significant role in one particular opposition offensive.
At the show's entrance vases, fruit-laden trees and other motifs common to both cultures appear in a large, fragmentary floor mosaic, which is being exhibited for the first time in decades following recent conservation.
Further variations on these signs are grouped somewhat according to subject in lacy patterns on the bottoms of skateboards; they also appear in a large wall painting that rambles amiably through references to art, pop culture and the future of the planet.
The items appear in a large-type catalogue, on tape and in Braille.
Some of the sculptures appear in a large-scale digital wallpaper print (a collaboration with the graphic designer Manuel Raeder), floating in the sky of an upside-down cityscape.
It's unknown when these things will appear in a larger 15-inch plus format.
By considering these threshold values, we verified the impact of different sizes of term sets, as well as what types of terms should be regarded: those more specific, i.e., that may appear in at least two items (threshold 1) or those more general, i.e., that may appear in a larger set of items (threshold 200).
The distribution of n-grams sizes for the two n-grams sets that consist of varying n-gram sizes is presented in Table 3. From the table we can see, as expected, that the DF feature selection method favors short n-grams which appear in a larger number of files.
