How can distinctive features theory be applied to elision?
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Distinctive features theory can be applied to elision by identifying the minimal units of sound that serve to distinguish the meaning of one word from another within a language. These distinctive features correspond to specific articulatory or acoustic properties of sound . By analyzing these features, researchers can understand how elision occurs and how it affects the overall meaning and pronunciation of words. Additionally, the concept of distinctive features can be used to detect and extract distinctive invariant features from images, such as curves and lines, which provide more information about the image structure . This approach allows for the reliable matching of objects in different images and has been widely used in robotic and machine vision applications .
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