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An example of a grammatical string produced using this grammar is ZGGF. An example of an ungrammatical string is ZGFG. Artificial grammar learning (AGL) is a task designed to test the process of implicit learning, which is the unconscious acquisition of knowledge and the use of this knowledge without consciously activating it. [26]
This is based on the idea that word processing is significantly faster than color processing. In a condition where there is a conflict regarding words and colors (e.g., Stroop test), if the task is to report the color, the word information arrives at the decision-making stage before the color information which presents processing confusion.
In psychology, the transposed letter effect is a test of how a word is processed when two letters within the word are switched.. The phenomenon takes place when two letters in a word (typically called a base word) switch positions to create a new string of letters that form a new, non-word (typically called a transposed letter non-word or TL non-word).
For example, for the letter R in the word "card", an observer might be asked to choose between the letter R and T, and will usually be more efficient in doing so than if they are asked to make the same choice with the string of letters such as "cqrd". [1] Each possible completion with the two possible letters in the word condition produce a word.
The reading span task was the first instance of the family of "complex span" tasks (as opposed to "simple span" tasks). It is a complex verbal test because it draws upon both storage and processing (i.e., reading) elements of working memory, while simple verbal tests (e.g., word span) require the storage element alone. [2]
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words.
Test of Word Reading Efficiency Second Edition or commonly known as TOWRE - 2 is a kind of reading test developed to test the efficiency of reading ability of children from age 6–24 years. It generally seeks to measure an individual's accuracy and fluency regarding two efficiencies; Sight Word Efficiency (SWE) and Phonemic Decoding Efficiency ...
New word recognition capabilities have made computer-based learning programs more effective and reliable. [8] Improved technology has enabled eye-tracking, which monitors individuals' saccadic eye movements while they read. This has furthered understanding of how certain patterns of eye movement increases word recognition and processing.