Multiple Choice: Which detail from the text best highlights how Mary Flanagan's view of machine-generated poetry differs from other experts, like Kevin Knight?A. "I feel the presence of the machine, stuck in the literary uncanny valley." (Paragraph 13)B. "'Humans are already good at producing human-sounding sonnets, so why get a computer to do that? Do something new!'" (Paragraph 15)C. "We could think of 'machine-generated' as a kind of literary G.M.O. tag" (Paragraph 16)D. "Perhaps machine sonnet-making is part of that resistance, a literary cyberpunk movement, a Dada-esque move." (Paragraph 17)

Multiple Choice: Machines like the Pentametron can easily write sonnets because...A. they are uniquely artistic.B. they are based on nonsense.C. they adhere to specific guidelines.D. they follow an unpredictable pattern.Multiple Choice: Which quotation best supports the answer to question 2?A. "Sonnets occupy something of a sweet spot: they're a rich art form (good for poets) with clear rules (good for machines)." (Paragraph 4)B. "This is more poetry as collage than true composition." (Paragraph 5)C. "A Mad Lib–ish start ('There was a(n) [old man / young lady] [from / with / who]...'), followed by five lines of prescribed meter in an aabba rhyme scheme" (Paragraph 6)D. "I ran this little poetry program in my head again and again, turning out dozens of nonsense limericks, complete with the requisite little-kid scatology." (Paragraph 6)

Multiple Choice: Which detail best illustrates a similarity between artificial intelligence and poetry?Need help with this skill? Review Part 2."A robot that can clean the crumbs from your living room isn't nearly as impressive, or scary, as one that can leave you with a lump in your throat." (Paragraph 1)"Poetry is a good place to move the end zone: it's rooted in the inspirational and the comical" (Paragraph 2)"And yet, in many of its forms, it edges toward the computational and algorithmic." (Paragraph 2)"Poetry even seems to have been implicit in the bold 1955 manifesto that first announced the field of artificial intelligence" (Paragraph 2)

Multiple Choice: According to the research of Kevin Knight, in order to generate and process human language, computers require...A. A.I. technology.B. neural networks.C. image recognition.D. translation software.Multiple Choice: Which quotation from the text best supports the answer to question 4?A. "With machine learning, the latest A.I. technology, computers might finally be able to follow suit." (Paragraph 7)B. "This is why the seemingly simple task of teaching a machine to compose a sonnet is such a complex programming feat" (Paragraph 7)C. "Knight's general expertise is in natural language processing, the area of computer science that is all about generating and understanding human language." (Paragraph 8)D. "Without neural nets, even the best programs couldn't write complete sentences." (Paragraph 8)

According to the information presented in the article, why is teaching a computer to generate original poems such a complex task? Explain your answer using evidence from the text.

The goal of this assignment is to explore natural language processing (NLP) tech-niques to generate creative and expressive poetry. Students will leverage theselanguage models to construct three stanzas, each comprising four verses with 7 to10 words in each verse, resulting in a cohesive and meaningful poem that not onlyexhibit technical proficiency but also evoke emotions and imagery. The providedstanza serves as an example, and the generation model will be trained on a PoetryCorpus containing works by renowned poets such as William Shakespeare and MayaAngelou.Below mentioned poem is a computer-generated poem in William Shake-speare styleUpon yon stage, where moonlight gently plays,A soliloquy of stars in cosmic ballet.Whispers of fate in the evening’s embrace,Shall we dance with destiny, in this sacred space?In fair Verona, where love blooms like spring,Romeo’s heart, a sonnet that sweetly sings.Juliet, a rose by any other name,In the garden of passion, love’s eternal flame.Morn breaks, as the sun’s golden chariot rides,A symphony of dawn, where darkness hides.Oh, the world’s a stage, and we but players,In life’s grand drama, love the sweetest layers.Task:Your task is to print three stanzas with an empty line between them, generatedusing unigram, bigram and trigram models. Follow these steps to accomplish theassignment:(a) Load the Poetry Corpus:i. Import the provided Poetry Corpus containing works by William Shake-speare and Maya Angelou.ii. Tokenize each corpus separately to create a list of words in each poet style.(b) Generate N-gram Models:i. Develop unigram, bigram, and trigram models for each poet.ii. Select the first word randomly from the starting words in the vocabulary.iii. Use the unigram, bigram and trigram model to predict the next word,continuing until the verse is complete.iv. Apply the same approach to generate the next four lines.(c) Algorithm for Poetry Generation:For each stanza:For each verse:Generate a random number in the range [7...10].Select the first word.Choose subsequent words until the end of the verse.Print the verse.Print an empty line after the stanza.Implementation Challenges:(a) Word Prediction:Selecting subsequent words after choosing the first word requires predicting themost probable next word. Utilize Conditional Frequency Distribution (CFD)to determine the set of words that occur most frequently after the selectedword.(b) Rhyming:Bonus - Rhyming the generated verses poses an additional challenge. Considerbuilding a rhyming dictionary to enhance the artistic quality of the poem.(c) Standard N-gram Models:We can develop our model using the Conditional Frequency Distribution method.First, develop a unigram model (Unigram Model), then the bigram model (Bi-gram Model), and then the trigram model. Select the first word of each linerandomly from the starting words in the vocabulary and then use the bigrammodel to generate the next word until the verse is complete. Generate the nextthree lines similarly. Follow the same steps for the trigram model and comparethe results of the two n-gram models.Desired output:Ask the user in which style they want to generate the poem. Give him two options ->William Shakespeare and Maya Angelou. Then display the poem in that generatedstyle.