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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 ...
1st Word/1st Word Plus: Atari ST and Acorn: AM Jacquard Systems: running Type-Rite, its own proprietary software [1] Adobe Buzzword: Adobe PageMaker: Windows, Mac OS, OS/2: Succeeded by Adobe InDesign: AppleWorks: Windows, Mac OS: Formerly ClarisWorks Word Processing, also an older and unrelated application for Apple II. Succeeded by iWork ...
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.
A word processor (WP) [1] [2] is a device or computer program that provides for input, editing, formatting, and output of text, often with some additional features.. Early word processors were stand-alone devices dedicated to the function, but current word processors are word processor programs running on general purpose computers.
The Moby Thesaurus II contains 30,260 root words, with 2,520,264 synonyms and related terms – an average of 83.3 per root word. Each line consists of a list of comma-separated values, with the first term being the root word, and all following words being related terms. Grady Ward placed this thesaurus in the public domain in 1996.
When the prefix "re-" is added to a monosyllabic word, the word gains currency both as a noun and as a verb. Most of the pairs listed below are closely related: for example, "absent" as a noun meaning "missing", and as a verb meaning "to make oneself missing". There are also many cases in which homographs are of an entirely separate origin, or ...
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.
For example, in the Library of Congress Subject Headings [6] (a subject heading system that uses a controlled vocabulary), preferred terms—subject headings in this case—have to be chosen to handle choices between variant spellings of the same word (American versus British), choice among scientific and popular terms (cockroach versus ...