Collective term for three distinct theories of verse structure
Generative metrics[a] is the collective term for three distinct theories of verse structure (focusing on the English iambic pentameter) advanced between 1966 and 1977. Inspired largely by the example of Noam Chomsky's Syntactic Structures (1957) and Chomsky and Morris Halle's The Sound Pattern of English (1968),[1] these theories aim principally at the formulation of explicit linguistic rules that will generate[b] all possible well-formed instances of a given meter (e.g. iambic pentameter) and exclude any that are not well-formed. T.V.F. Brogan notes that of the three theories, "[a]ll three have undergone major revision, so that each exists in two versions, the revised version being preferable to the original in every case."[2]
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^Attridge 1982, pp 28, 34.
^Brogan 1981, p 299.
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Generativemetrics is the collective term for three distinct theories of verse structure (focusing on the English iambic pentameter) advanced between 1966...
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transformers, BERT, GPT-4 and others. This has significantly aided LLMs and Generative AI models. This measure was employed to compare different models on the...
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usefulness of the text. Metrics: compare generated texts to texts written by people from the same input data, using an automatic metric such as BLEU, METEOR...
interactions, on a user-by-user basis. LaMDA is tuned on nine unique performance metrics: sensibleness, specificity, interestingness, safety, groundedness, informativeness...
structure of language and conceptualization of the world. Markedness entered generative linguistic theory through Noam Chomsky and Morris Halle's The Sound Pattern...
that this period started around the early 2020s, with the release of generative AI models, including large language models such as ChatGPT, which replicated...
by Vladimir Vapnik in the 1970s. Interest in inductive learning using generative models also began in the 1970s. A probably approximately correct learning...
metrics. Examples of ranking quality measures: Mean average precision (MAP); DCG and NDCG; Precision@n, NDCG@n, where "@n" denotes that the metrics are...
for automatic root-cause fault-tree analysis, predictive analytics, and generative AI. Dynatrace provides multicloud observability to both SaaS and managed...
that best splits the set of items. Different algorithms use different metrics for measuring "best". These generally measure the homogeneity of the target...
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