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In linguistics, a blend—also known as a blend word, lexical blend, or portmanteau [a] —is a word formed by combining the meanings, and parts of the sounds, of two or more words together. [ 2 ] [ 3 ] [ 4 ] English examples include smog , coined by blending smoke and fog , [ 3 ] [ 5 ] as well as motel , from motor ( motorist ) and hotel .
In linguistics, univerbation is the diachronic process of combining a fixed expression of several words into a new single word. [ 1 ] The univerbating process is epitomized in Talmy Givón 's aphorism that "today's morphology is yesterday's syntax ".
In writing and typography, a ligature occurs where two or more graphemes or letters are joined to form a single glyph.Examples are the characters æ and œ used in English and French, in which the letters a and e are joined for the first ligature and the letters o and e are joined for the second ligature.
Note that some words contain an ae which may not be written æ because the etymology is not from the Greek -αι-or Latin -ae-diphthongs. These include: In instances of aer (starting or within a word) when it makes the sound IPA [ɛə]/[eə] (air). Comes from the Latin āër, Greek ἀήρ. When ae makes the diphthong / eɪ / (lay) or / aɪ ...
Words can be joined by or {{nowrap|xx xx}} to force the words to appear together, on one line. Sometimes text, next to a wide image-box or wide infobox, tends to get squeezed into a narrow column of text. A very narrow column can cause text-wrapping as, sometimes, one-word-per-line, all the way down the entire column.
In principle, language can have a countless amount of words in a sentence. Language is not a continuous notion, but rather discrete in the way that linguistic expressions are distinct units, such as a x word in a sentence, or a x+1, x-l words, and not partial words, x.1, x.2 .... Additionally, language is not constricted in size, but rather ...
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Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus.