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For example, a word can have several word senses. [3] Polysemy is distinct from monosemy, where a word has a single meaning. [3] Polysemy is distinct from homonymy—or homophony—which is an accidental similarity between two or more words (such as bear the animal, and the verb bear); whereas homonymy is a mere linguistic coincidence, polysemy ...
For example, fingers describe all digits on a hand, but the existence of the word thumb for the first finger means that fingers can also be used for "non-thumb digits on a hand". [13] Autohyponymy is also called "vertical polysemy". [a] [14] Horn called this "licensed polysemy", but found that autohyponyms also formed even when there is no ...
When a lexical ambiguity results from a single word having two senses, it is called polysemy. For instance, the English "foot" is polysemous since in general it refers to the base of an object, but can refer more specifically to the foot of a person or the foot of a pot.
Metonymy and related figures of speech are common in everyday speech and writing. Synecdoche and metalepsis are considered specific types of metonymy. Polysemy, the capacity for a word or phrase to have multiple meanings, sometimes results from relations of metonymy.
Examples include the pair stalk (part of a plant) and stalk (follow/harass a person) and the pair left (past tense of leave) and left (opposite of right). A distinction is sometimes made between true homonyms, which are unrelated in origin, such as skate (glide on ice) and skate (the fish), and polysemous homonyms, or polysemes, which have a ...
Most people can agree in distinctions at the coarse-grained homograph level (e.g., pen as writing instrument or enclosure), but go down one level to fine-grained polysemy, and disagreements arise. For example, in Senseval-2, which used fine-grained sense distinctions, human annotators agreed in only 85% of word occurrences. [14]
Popular examples of the Mandela effect. Here are some Mandela effect examples that have confused me over the years — and many others too. Grab your friends and see which false memories you may ...
In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]