data:image/png;base64,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data:image/png;base64,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 way I picked my words was that I simply searched "most common ( )", then chose some words that popped up. I simply made long lists of words for each type of speech, and then set each variable (named by the type of speech it represents) to the corresponding list. I decided for all the phrase blocks to be in the Variables Category simply because all of the list blocks and variable blocks that I use in this program are all in this category (see comments about how they work inside custom block)This is a little program where when space key is pressed, the sprite says a random sentence (see how the sentence is constructed inside custom block comments and how it chooses different things randomly) for 3 seconds.

What I'm doing here with this new variable (that is hidden on stage) is that I set it to either a 1 or 2, which is chosen randomly. If it is 1, then the noun phrase includes a common noun. If the chosen number is two, then the noun phrase uses a proper noun. This way, the program can randomly choose whether to use a noun or proper noun. I use an if statement to see which type of noun to use. If the chosen number is 1, then we use a common noun, and we report a long join block with a random word from each type of speech necessary in a noun phrase (article, adjective, and noun). In the else section (the number must be 2), we report the same thing except that we randomly select a word from the proper noun list. In between each word, we also have a space to make it look better and readable.

For the prepositional phrase, we simply report a join block that includes a randomly selected item from the preposition list, and then we include a space in between, followed by a noun phrase, which remember, is randomly selected between a noun and proper noun.

Here, we use the same mechanism of randomly selecting whether we want to use a prepositional phrase or not. We assign variable Choose to a randomly selected 1 or 2. If the selected number is 1 (using an if statement), then we include a prepositional phrase in the verb phrase, and we report a long join block that includes a random word from the adverb list, a space, a random word from the verb list, space, and a prepositional phrase. If the selected number is 2, then we simply leave out the prepositional phrase .

Lastly, with the sentence we simply join a noun phrase (which can choose between a proper noun and noun) and a verb phrase (which can choose between including the prepositional phrase and not including it) to create a sentence and report it!time,person,year,way,day,thing,man,world,life,hand,part,child,eye,woman,place,work,week,case,point,government,company,number,group,problem,fact,economyact,answer,approve,arrange,break,concern,decide,dislike,doubt,feel,am,appear,are,be,become,is,was,has,had,did,does,can,could,may,mightgood,new,first,last,long,great,little,own,bold,old,right,big,high,different,small,large,next,early,young,important,few,public,bad,same,able,civilvivaciously,bravely,brightly,cheerfully,victoriously,safely,powerfully,elegantly,faithfully,fortunately,happily,honestly,perfectly,anxiously,boastfully,foolishly,hopelessly,irritably,jealousy,obnoxiously,poorly,rapidly,slowly,tediously,always,eventually,frequently,occasionally,rarely,regularly,usually,sometimes,accidentally,awkwardly,deliberatly,unexpectedlyThe,A,An,This,That,These,Those,My,Your,His,Her,Its,Our,Their,Some,Other,Anotherof,in,to,for,with,on,at,from,by,about,as,into,like,through,after,over,between,during,without2Fiji Water,Honda,Beijing,Machu Picchu,Panda Express,Felicia,Michael,Sarah,Sophia,Bob,John,James,Lake Superior,Coca Cola,Dairy Queen Blizzard,McRib,iPhone,Samsung,Kentucky Fried Chicken,South Korea,Colosseum,The Great Wall of China,Gucci,Taj Mahal,Kyle