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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 ...
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.
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.
In case of a natural language, those categories include nouns, verbs, adjectives, punctuations etc. In case of a programming language, the categories include identifiers, operators, grouping symbols and data types. Lexical tokenization is related to the type of tokenization used in large language models (LLMs) but with two differences.
("Storage" and "files" are good examples of how human memory and computer memory have been linked to the same vocabulary; this was not always the case). George Lakoff's work is usually cited as the cornerstone to studies of metaphor in the language. [7] One example is quite common: "time is money". We can save, spend and waste both time and money.
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 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 ...
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 ...