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Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...
For example, (one sense of) the noun "director" is linked to (one sense of) the verb "direct" from which it is derived via a "morphosemantic" link. The morphology functions of the software distributed with the database try to deduce the lemma or stem form of a word from the user's input.
Authors also use placeholders for generic elements in schematicized parsing, such as may be used to illustrate morpheme or word order in a language. Examples include HEAD or HD 'head'; ROOT or RT 'root'; STEM or ST 'stem'; PREF, PRFX or PX 'prefix'; SUFF, SUFX or SX 'suffix'; CLIT, CL or ENCL 'clitic' or 'enclitic'; PREP 'preposition' and POS ...
Word frequency is known to have various effects (Brysbaert et al. 2011; Rudell 1993). Memorization is positively affected by higher word frequency, likely because the learner is subject to more exposures (Laufer 1997). Lexical access is positively influenced by high word frequency, a phenomenon called word frequency effect (Segui et al.).
Methods should be verbs in lowerCamelCase or a multi-word name that begins with a verb in lowercase; that is, with the first letter lowercase and the first letters of subsequent words in uppercase. run(); runFast(); getBackground(); Variables Local variables, instance variables, and class variables are also written in lowerCamelCase.
The word independent, for example, is derived from the word dependent by using the prefix in-, and dependent itself is derived from the verb depend. There is also word formation in the processes of clipping in which a portion of a word is removed to create a new one, blending in which two parts of different words are blended into one, acronyms ...
For example, once you've seen an article such as 'the', perhaps the next word is a noun 40% of the time, an adjective 40%, and a number 20%. Knowing this, a program can decide that "can" in "the can" is far more likely to be a noun than a verb or a modal. The same method can, of course, be used to benefit from knowledge about the following words.
The recognition point process is initiated within the first 200 to 250 milliseconds of the onset of the given word. [4] This is also known as the uniqueness point and it is the point where the most processing occurs. [10] Moreover, there is a difference in the way a word is processed before it reaches its recognition point and afterward.