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The orthographic depth of an alphabetic orthography indicates the degree to which a written language deviates from simple one-to-one letter–phoneme correspondence. It depends on how easy it is to predict the pronunciation of a word based on its spelling: shallow orthographies are easy to pronounce based on the written word, and deep orthographies are difficult to pronounce based on how they ...
Deep linguistic processing is a natural language processing framework which draws on theoretical and descriptive linguistics. It models language predominantly by way of theoretical syntactic/semantic theory (e.g. CCG , HPSG , LFG , TAG , the Prague School ).
The terminal yield of a surface structure tree, the surface form, is then predicted to be a grammatical sentence of the language being studied. The role and significance of deep structure changed a great deal as Chomsky developed his theories, and since the mid-1990s deep structure no longer features at all [6] (see minimalist program).
For example, Chinese, which is a fully logographic orthography, has comparable rates of dyslexia (3.9%) to that of shallow alphabetic orthographies such as Italian (3.2%) while English, which is a deep alphabetic orthography, has much higher rates of up to 10%. [20]
An example is the past tense suffix- ed , which may be pronounced variously as /t/, /d/, or /ᵻd/ [a] (for example, pay / ˈ p eɪ /, payed / ˈ p eɪ d /, hate / ˈ h eɪ t /, hated / ˈ h eɪ t ɪ d /). As it happens, these different pronunciations of - ed can be predicted by a few phonological rules, but that is not the reason why its ...
Depth of processing falls on a shallow to deep continuum. [citation needed] Shallow processing (e.g., processing based on phonemic and orthographic components) leads to a fragile memory trace that is susceptible to rapid decay. Conversely, deep processing (e.g., semantic processing) results in a more durable memory trace. [1]
Most modern deep semantic parsing models are either based on defining a formal grammar for a chart parser or utilizing RNNs to directly translate from a natural language to a meaning representation language. Examples of systems built on formal grammars are the Cornell Semantic Parsing Framework, [37] Stanford University's Semantic Parsing with ...
First two images illustrate typical DOF of a single image at f/10 while the third image is the composite of six images. Focus stacking (for extended depth of field) in bright field light microscopy. This example is of a diatom microfossil in diatomaceous earth. Three source images at different focus distances (top left) are combined with masks ...