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Spoonerism: a switch of two sounds in two different words (cf. sananmuunnos) Same-sounding words or phrases, fully or approximately homophonous (sometimes also referred to as "oronyms") Techniques that involve the letters. Acronym: abbreviations formed by combining the initial components in a phrase or names; Anadrome: a word or phrase that ...
The association of the base form with a part of speech is often called a lexeme of the word. Lemmatization is closely related to stemming. The difference is that a stemmer operates on a single word without knowledge of the context, and therefore cannot discriminate between words which have different meanings depending on part of speech. However ...
Tmesis – separating the parts of a compound word by a different word (or words) to create emphasis or other similar effects. Topos – a line or specific type of argument. Toulmin model – a method of diagramming arguments created by Stephen Toulmin that identifies such components as backing, claim, data, qualifier, rebuttal, and warrant.
Content words, in linguistics, are words that possess semantic content and contribute to the meaning of the sentence in which they occur. In a traditional approach, nouns were said to name objects and other entities, lexical verbs to indicate actions, adjectives to refer to attributes of entities, and adverbs to attributes of actions.
Semantic change (also semantic shift, semantic progression, semantic development, or semantic drift) is a form of language change regarding the evolution of word usage—usually to the point that the modern meaning is radically different from the original usage.
Text world theory and schema theory seek to help people understand how we process language and create mental representations when we read or listen to something. [1] This theory figuratively describes a piece of language (such as a text, a speech or conversation) as a "world" that the reader, hearer or interlocutor must "build" in their mind. [2]
Based on text analyses, semantic relatedness between units of language (e.g., words, sentences) can also be estimated using statistical means such as a vector space model to correlate words and textual contexts from a suitable text corpus. The evaluation of the proposed semantic similarity / relatedness measures are evaluated through two main ways.
The underlying assumption is that similar senses occur in similar contexts, and thus senses can be induced from text by clustering word occurrences using some measure of similarity of context, [27] a task referred to as word sense induction or discrimination. Then, new occurrences of the word can be classified into the closest induced clusters ...