Closed ebeshero closed 7 months ago
What ngram sizes give you frequency counts above 5? ngram size 4,3,2,1 gives frequency counts about 5 What ngram sizes give you frequency counts in the double digits? 4,3,2,1 What phrases get repeated a lot in this text? "be with you on your wedding night" is a phrase repeated 4 times.
I find it cool and little interesting that the drastic change in about of words going from 2 to 3 and the frequency numbers drop tremendously. In the screenshot it's visible in the change and with the word "of the", it's been repeated very frequently but once it's switched to 3 words, it drops by so much more. The highest frequency was 8 after the change to 3 words.
@03lizchavez Hi, Elizabeth! I agree with how the smaller the phrase size, the more commonly used words appear more frequently. I find it weird that the most commonly used words like "the," a," "of," "and," and "was," among others, appear the most. I am trying to figure out how I should filter out these words so that I can find the most frequently used terms other than these words.
@SonicSpaceFan025 Voyant screens out those common words. But if you are studying n-grams, you need them to help find the most frequently repeating patterns like "out of the" or "I don't". When you don't screen them out, and check their KWIC (Keyword in Context) view on AntConc, you start to see very interesting distinct patterns. I find 3-grams often the best to work with in AntConc.
Basically, you want to look at the AntConc and the Voyant views: they show you different kinds of patterns.
Use our corpus analysis tools, Voyant and Antconc, to take a look at frequently used words and ngrams. Try ngrams of varying sizes: 6, 5, 4, 3, 2. What ngram sizes give you frequency counts above 5? Sizes 4,3,2,1 What ngram sizes give you frequency counts in the double digits? 3,4 What phrases get repeated a lot in this text? “Mr Kirwin” , “but not” Choose some ngram clusters of interest and explore them in their KWIC (Keyword in Context) view to scope the words before and after. Think about what you're seeing: what questions or ideas do you have about this text based on what you are seeing? Was the text written intentionally with the selection of these words? Take screen captures of two or three interesting screens of results.
Write a paragraph or two about your findings. What you have discovered so far about the text you worked with?It appears that larger phrases are less noticeable. All texts are like this, but this one more than any other. The term "man," which appears 131 times in total, is quite startling. Also, the frequency plateous at four occurs when the ngram size is raised beyond five. There is a second plateau in frequency at ngram size of 9 or above.
Post your screenshots and discuss your findings about fc.txt here!
Use our corpus analysis tools, Voyant and Antconc, to take a look at frequently used words and ngrams. Try ngrams of varying sizes: 6, 5, 4, 3, 2. What ngram sizes give you frequency counts above 5? Sizes 4,3,2,1 What ngram sizes give you frequency counts in the double digits? 3,4 What phrases get repeated a lot in this text? “Mr Kirwin” , “but not” Choose some ngram clusters of interest and explore them in their KWIC (Keyword in Context) view to scope the words before and after. Think about what you're seeing: what questions or ideas do you have about this text based on what you are seeing? Was the text written intentionally with the selection of these words? Take screen captures of two or three interesting screens of results.
Write a paragraph or two about your findings. What you have discovered so far about the text you worked with?It appears that larger phrases are less noticeable. All texts are like this, but this one more than any other. The term "man," which appears 131 times in total, is quite startling. Also, the frequency plateous at four occurs when the ngram size is raised beyond five. There is a second plateau in frequency at ngram size of 9 or above.
@hsosia1 Your text is identical to @josiahr21 's! Please delete it and write your own post.
Post your screenshots and discuss your findings about fc.txt here!