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Computer poetry

Genre
Pronunciation

Understanding ARPABET Pronunciation

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The pronunciation guide uses the ARPABET phonetic system—the same system used in speech recognition and text-to-speech applications.

Vowel Examples:
AE1 = cat, bat
EH1 = bed, head
IY1 = see, me
OW1 = go, boat
UW1 = boot, do
Stress Numbers:
0 = no stress (unstressed)
1 = primary stress (loud)
2 = secondary stress (medium)
Example:
AH0 TH IY1 N AH0
= a-THEE-na (Athena)

The stressed syllable (marked with 1) is pronounced louder and clearer than others.

Quick Definition

Poetry generated or significantly shaped by computational processes or algorithms

Detailed Definition
Computer poetry refers to verse generated, assisted, or conceptualized through algorithmic processes, artificial intelligence, or digital code, challenging notions of authorship, creativity, and linguistic structure; it ranges from early mainframe experiments (like those of the 1960s) to contemporary AI-generated texts that interrogate the boundaries between human and machine expression.
Example
Example in poetry:
Allison Parrish’s “Articulations” uses algorithmic text generation to create poetic fragments; Nick Montfort’s “Taroko Gorge” is a generative poem that endlessly recombines nature descriptions; Stephanie Strickland’s “True North” integrates code and hypertext to explore poetic form; Jhave’s “ReRites” employs neural networks to produce lyrical, often uncanny verse.
Additional Notes
Computer poetry uses algorithms, code, or digital processes to generate or shape verse; explores intersections of technology and creativity—may involve recursive repetition or constrained forms.
Also Known As
Algorithmic verse digital poetry generative lyric coded stanzas Cyber poetry Electronic verse
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