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Conflation (other)
Conflation is the merging of two or more sets of information, texts, ideas, or opinions into one, often in error. Conflation may also refer to: * Conflation of Readings, term used in textual criticism * a synonym for the process of stemming in linguistics * the act of combining two distinct maps into one new map, also called Map Matching Map matching is the problem of how to match recorded geographic coordinates to a logical model of the real world, typically using some form of Geographic Information System. The most common approach is to take recorded, serial location points (e.g. ... * Conflation (statistics), merging of two or more probability density functions into one density {{disambig ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Conflation
Conflation is the merging of two or more sets of information, texts, ideas, or opinions into one, often in error. Conflation is defined as 'fusing blending', but is often used colloquially as 'being equal to' - treating two similar but disparate concepts as the same. Merriam Webster suggested this shift in usage happened relatively recently, entering their dictionary in 1973. In logic, it is the practice of treating two distinct concepts as one, which produces errors or misunderstandings as a fusion of distinct subjects tends to obscure analysis of relationships which are emphasized by contrasts. However, if the distinctions between the two concepts may appear to be superficial, intentional conflation can be desirable for the sake of conciseness and recall. Communication and reasoning The result of conflating concepts may give rise to fallacies and ambiguity, including the fallacy of four terms in a categorical syllogism. For example, the word "bat" has at least two distinct ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Conflation Of Readings
Conflation of readings is the term for intentional changes in the text made by the scribe, who used two or more manuscripts with two or more textual variants and created another textual form. The term is used in New Testament textual criticism. Fenton Hort gave eight examples from Mark (6:33; 8:26; 9:38, 39) and Luke (9:10; 11:54; 12:18; 24:53) in which the Byzantine text-type had combined Alexandrian and Western readings. It was one of the three Hort's arguments that the Byzantine text is the youngest. Other textual critics gave more examples of conflation (Matthew 27:41, John 18:40, Acts 20:28, and Romans 6:12). Luke 24:53 : "blessing God" (Alexandrian) : "praising God" (Western) : "praising and blessing God" (Byzantine) Metzger gave as an example Acts 20:28 : "the church of God" (Alexandrian) : "the church of the Lord" : "the church of the Lord and God" (Byzantine)Bruce M. Metzger, Bart D. Ehrman, "The Text of the New Testament: Its Transmission, Corruption and Restoration ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Stemming
In linguistic morphology and information retrieval, stemming is the process of reducing inflected (or sometimes derived) words to their word stem, base or root form—generally a written word form. The stem need not be identical to the morphological root of the word; it is usually sufficient that related words map to the same stem, even if this stem is not in itself a valid root. Algorithms for stemming have been studied in computer science since the 1960s. Many search engines treat words with the same stem as synonyms as a kind of query expansion, a process called conflation. A computer program or subroutine that stems word may be called a ''stemming program'', ''stemming algorithm'', or ''stemmer''. Examples A stemmer for English operating on the stem ''cat'' should identify such strings as ''cats'', ''catlike'', and ''catty''. A stemming algorithm might also reduce the words ''fishing'', ''fished'', and ''fisher'' to the stem ''fish''. The stem need not be a word, for example ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Map Matching
Map matching is the problem of how to match recorded geographic coordinates to a logical model of the real world, typically using some form of Geographic Information System. The most common approach is to take recorded, serial location points (e.g. from GPS) and relate them to edges in an existing street graph (network), usually in a sorted list representing the travel of a user or vehicle. Matching observations to a logical model in this way has applications in satellites navigation, GPS tracking of freight, and transportation engineering. Map matching algorithms can be divided in real-time and offline algorithms. Real-time algorithms associate the position during the recording process to the road network. Offline algorithms are used after the data is recorded and are then matched to the road network. Real-time applications can only calculate based upon the points prior to a given time (as opposed to those of a whole journey), but are intended to be used in 'live' environments. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
