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The sentence "We saw her duck" is also syntactically ambiguous. Conversely, a sentence like "He ate the cookies on the couch" is also semantically ambiguous. Rarely, but occasionally, the different parsings of a syntactically ambiguous phrase result in the same meaning. For example, the command "Cook, cook!"
A famous example for lexical ambiguity is the following sentence: "Wenn hinter Fliegen Fliegen fliegen, fliegen Fliegen Fliegen hinterher.", meaning "When flies fly behind flies, then flies fly in pursuit of flies." [40] [circular reference] It takes advantage of some German nouns and corresponding verbs being homonymous. While not noticeable ...
In computer science, an ambiguous grammar is a context-free grammar for which there exists a string that can have more than one leftmost derivation or parse tree. [1] [2] Every non-empty context-free language admits an ambiguous grammar by introducing e.g. a duplicate rule.
Syntactic ambiguity, also known as structural ambiguity, [1] amphiboly, or amphibology, is characterized by the potential for a sentence to yield multiple interpretations due to its ambiguous syntax. This form of ambiguity is not derived from the varied meanings of individual words but rather from the relationships among words and clauses ...
The ambiguity arises because the reader may not be certain as to which definition is intended by the editor. In such cases, always provide sufficient context or explanation to make it clear to any reader which definition is intended. In some cases wording can be ambiguous although the words are not.
Lexical ambiguity is a subtype of semantic ambiguity where a word or morpheme is ambiguous. 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 ...
This example makes use of the ambiguity between the verb suspeita and the adjective suspeita, which is also captured by the English word suspect. It also makes use of a misreading in which the word e is passed over by the parser, which lends to two different meanings.
In ambiguous images, detecting edges still seems natural to the person perceiving the image. However, the brain undergoes deeper processing to resolve the ambiguity. For example, consider an image that involves an opposite change in magnitude of luminance between the object and the background (e.g.