Languages can grammaticalize a lot of different things. Japanese grammaticalizes the shape of an object with a noun suffix. Turkish grammaticalizes how certain you are of a statement with a verb suffix.
English doesn’t grammaticalize much. We just use extra adjectives and adverbs. However, I predict English will acquire a feature in which it grammaticalizes mood with a sentence-final clitic. For example, compare:
In example 2, the sentence-final ‘lol’ marks the sentence’s nonserious mood, making it apparent to the listener that he is in fact being mocked, rather than informed of his condition, as in example 1.
The mood indicated by ‘lol’ does not have to be mocking, however. It can encompass a wide variety of situations, including smugness, irony, amusement, even to defuse an otherwise inflammatory sentence. Consider the following statements:
Example 3 is read with a default mood of meanspiritedness or frustration. Grammaticalizing the nonserious mood here serves to obscure whether or not the speaker in fact thinks Jake is a pansy. In such cases this grammatical structure will also provide plausible deniability should Jake take offense anyway.
The use of a clitic to grammaticalize mood in English will not necessarily be limited to the nonserious. Consider the tone presented in these examples by other possible sentence-final mood markers:
Undoubtedly the anglophone population is rapidly progressing towards an ever more useful and versatile language. God save the queen lol.
The political corruption of language is often called Orwellian, and indeed Orwell was deeply concerned with it, both his essay “Politics and the English Language”, and the role of Newspeak in his novel 1984. He has in mind a bidirectional process: The decline of a language must ultimately have political and . . .
The famous quote above from the Tractatus Logico-Philosophicus just means that the categories we use to make sense of the world are part of us, and not part of the world. The boundaries that we draw around classes of objects – this is a chair, and that is not – . . .
Earlier this year, the San Francisco-based artificial intelligence research laboratory OpenAI built GPT-3, a 175-billion-parameter text-generating artificial intelligence. Compared to its predecessor, the humorously dissociative GPT-2, which had been trained on a data set less than one hundredth as large, GPT-3 is a startlingly convincing writer. It can answer questions . . .
Ben
Jan 13, 2012 at 18:06 |What was it you said about post-rock bands? ;)
Taylar
Jan 13, 2012 at 18:23 |lol it could be a prefix too
Ariel
Jan 13, 2012 at 22:09 |cameron ur such a dork lol u should srsly write a textbook about it
So what happens when we grammaticalize punctuation, too? Emoticons express a full range of human emotion, intention, and nuance! :D :( :O :p 8) :* ;) Ben has even given us an example within this very comment section!
Ben
Jan 13, 2012 at 23:09 |I wuz hoping that wud be caught :)) =;