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The plural may be used to emphasise the plurality of the attribute, especially in British English but very rarely in American English: a careers advisor, a languages expert. The plural is also more common with irregular plurals for various attributions: women killers are women who kill, whereas woman killers are those who kill women.
Most Prescriptivists consider these forms incorrect, but descriptivists may simply describe them as a natural evolution of language; some prescriptivists do consider some such forms correct (e.g. octopi as the plural of octopus being analogous to polypi as the plural of polypus). Some English words of Latin origin do not commonly take the Latin ...
The collective presents similar issues as the distributive in its potential classification as grammatical number, including the fact that some languages allow both collective and plural markers on the same words. Adding a collective to a plural word does not change the number of referents, only how those referents are conceptualized. [315]
Broken plurals are formed by changing the pattern of consonants and vowels inside the singular form. They contrast with sound plurals (or external plurals), which are formed by adding a suffix, but are also formally distinct from phenomena like the Germanic umlaut, a form of vowel mutation used in plural forms in Germanic languages.
The artificial intelligence (AI) ... An AI glossary: The words and terms to know about the booming industry. Jasmine Cui and Jason Abbruzzese. Updated May 16, 2023 at 10:36 AM.
-is and -ys words differ in that -is words (with the short i sound) are stressed on the stem (I, II accentuation patterns) and -ys words (with the same sound, but long) are stressed on the ending (III, IV accentuation patterns). In the -is type almost half of the nouns have consonants t, d in the stem ending.
Conversely, in the English language as a whole, singular verb forms can often be used with nouns ending in "-s" that were once considered plural (e.g., "Physics is my favorite academic subject"). This apparent "number mismatch" is a natural and logical feature of human language, and its mechanism is a subtle metonymic shift in the concepts ...
Generative AI systems trained on words or word tokens include GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language models). They are capable of natural language processing , machine translation , and natural language generation and can be used as foundation models for other tasks. [ 62 ]