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Method for generating descriptors for the classification of texts

Assignee: Daimler Benz AG
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Filing: 1996-06-18
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Granted: 2000-03-14
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Expires: 2016-06-18
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Abstract

Abstract The proposed method for generating descriptors for the classification of texts provides a breakdown of more complex word forms by way of matching with the entirety of word forms occurring within a compilation of training texts. No morphological or linguistic knowledge base is necessary for the preferably cyclically continued breakdown, nor for the accompanying drawing up of stop word prefix and suffix lists. Simple morphological knowledge is provided by prescribing minimum requirements with respect to the form of descriptors and text sections. The method is particularly flexible and can be easily adapted to new applications. The method is also very error-tolerant and thus particularly suited for the classification of digitized texts which are produced from written texts by means of character recognition methods or from spoken texts by means of language recognition methods.

Inventors

  • 👤 Ingrid Renz

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-11-01 05:56
CPC Classifications
G; G06; G06F; G06F40/00; G06F40/20; G06F40/268; G06F16/00; G06F16/30; G06F16/35; G06F16/353; G06F40/30

Claims Analysis

Total Claims: 9
Claim 1
Independent Claim 98 words
A method of generating descriptors for natural language texts, using a plurality of training texts having a plurality of words, comprising the steps of: extracting words from a text during a training phase on the basis of the training texts; predetermining a minimum structure of said descriptors; breaking down words in the text into shorter word segments, wherein each shorter word segment within a longer word segment must meet said minimum structure for said breaking down to be permitted; and matching said word segments that remain in the text against each other to generate a list of descriptors.
Claim 2
Independent Claim 98 words
A method of generating descriptors for natural language texts, using a plurality of training texts having a plurality of words, comprising the steps of: extracting words from a text during a training phase on the basis of the training texts; predetermining a minimum structure of said descriptors; breaking down words in the text into shorter word segments, wherein each shorter word segment within a longer word segment must meet said minimum structure for said breaking down to be permitted; and matching said word segments that remain in the text against each other to generate a list of descriptors.
Claim 3
Dependent Claim 53 words
A method according to claim 1 wherein the breakdown step is carried out repeatedly, with the word segments formed in preceding breakdown cycles being treated like word forms that occur in the text, and the descriptors are formed from the word forms and word segments which are left after the last breakdown cycle.
Claim 4
Dependent Claim 28 words
A method according to claim 1 wherein, during the formation of the descriptors from the remaining word forms and word segments, suffixes and prefixes are separated from them.
Claim 5
Dependent Claim 23 words
A method according to claim 3, wherein the suffixes and prefixes are statistically determined from the word forms occurring in the training texts.
Claim 6
Dependent Claim 24 words
A method according to claim 1, wherein a stop word list is predetermined and word forms contained therein are not considered in the text.
Claim 7
Dependent Claim 31 words
A method according to claim 5, wherein the word forms of the stop word list are statistically determined from the training texts as the word forms which most frequently occur therein.
Claim 8
Dependent Claim 30 words
A method according to claim 1, wherein a frequency threshold is predetermined for the descriptors and only those descriptors are used whose frequency in the training texts exceeds the threshold.
Claim 9
Dependent Claim 59 words
The method according to claim 4, comprising the following steps: removing word segments not meeting the minimum structure from consideration as descriptors, wherein the minimum structure includes word segments having at least three characters, one of which must be a vowel; and separating said prefixes and suffixes from said word segments at a conclusion of said breaking down step.

References Cited (Backward Citations)

US4771401A Cited
US5490061A Cited
EP0281742A2 Cited
US5251129A Cited
EP0566848A2 Cited
US5331556A Cited
US5745602A Cited

USPTO Annuity & Maintenance Windows

Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
3.5 Years (Year 4) 2003-03-14 2003-09-13 2004-03-14 $2000.00 Window Closed / Lapsed
7.5 Years (Year 8) 2007-03-14 2007-09-13 2008-03-14 $3760.00 Window Closed / Lapsed
11.5 Years (Year 12) 2011-03-14 2011-09-13 2012-03-14 $7700.00 Window Closed / Lapsed

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