System for classifying words
First Claim
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1. A method for determining probable meanings of a word, the method comprising:
- establishing a prior probability of the probable meanings of the word;
establishing a context frequency probability of the probable meaning of the word;
providing, by a processor, the probable meanings of the word including the probability that each meaning is a correct meaning in accordance with a combination of both the prior probability and the context frequency probability; and
establishing disambiguators in accordance with a text in which the word is used, where the disambiguators modify the combination of the prior probability and the context frequency probability,wherein establishing disambiguators includes assigning at least one attribute to a context of the word and to places, and applying the context of the word when the attribute of a place in question matches attributes of the context of the word.
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Abstract
A system is disclosed for determining probable meanings of a word. A prior probability is established of the probable meanings of the word. A context frequency probability is established of the probable meanings of the word. The probability that each meaning is a correct meaning may be provided in accordance with both the prior probability and the context frequency probability.
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Citations
20 Claims
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1. A method for determining probable meanings of a word, the method comprising:
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establishing a prior probability of the probable meanings of the word; establishing a context frequency probability of the probable meaning of the word; providing, by a processor, the probable meanings of the word including the probability that each meaning is a correct meaning in accordance with a combination of both the prior probability and the context frequency probability; and establishing disambiguators in accordance with a text in which the word is used, where the disambiguators modify the combination of the prior probability and the context frequency probability, wherein establishing disambiguators includes assigning at least one attribute to a context of the word and to places, and applying the context of the word when the attribute of a place in question matches attributes of the context of the word. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13)
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12. The method of claimi, further comprising
ignoring a word in a sequence of words when the established probability of the meaning of the word indicates that the word is a rare word.
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14. A system to determine probable meanings of a word comprising:
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means for establishing a prior probability of the probable meanings of the word; means for establishing a context frequency probability of the probable meaning of the word; means for providing, by a processor, the probable meanings of the word including the probability that each meaning is a correct meaning in accordance with a combination of both the prior probability and the context frequency probability; and means for establishing disambiguators in accordance with a text in which the word is used, where the disambiguators modify the combination of the prior probability and the context frequency probability, wherein establishing disambiguators includes assigning at least one attribute to a context of the word and to places, and applying the context of the word when the attribute of a place in question matches attributes of the context of the word. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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Specification