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LEADER 03664cam 2200541Ia 4500

001 ocn824511279;

003 OCoLC;

005 20141212050734.0;

006 m o d ;

007 cr bn|||||||||;

008 130116s2012 ncua ob 000 0 eng d;

035 a| (Sirsi) o824511279;

035 a| (OCoLC)824511279;

049 a| EREE;

090 a| P98;

100 1 a| Knight, Gregory P.?| UNAUTHORIZED;

245 10 a| Using n-grams to identify time periods of cultural influence /c| by Gregory P. Knight.;

260 a| [Greenville, N.C.] :b| East Carolina University,c| 2012.;

300 a| 92 pages :b| illustrations (some color), digital, PDF file;

336 a| text2| rdacontent;

337 a| computer2| rdamedia;

338 a| online resource2| rdacarrier;

538 a| System requirements: Adobe Reader.;

538 a| Mode of access: World Wide Web.;

502 b| M.S.c| East Carolina Universityd| 2012.;

500 a| Presented to the faculty of the Department of Computer Science.;

500 a| Advisor: Nasseh Tabrizi.;

500 a| Title from PDF t.p. (viewed Feb. 1, 2013).;

520 3 a| An author's literary style is influenced by the cultural time period in which the author lives. The author's ideas, and the words chosen to express them, can help identify the cultural time period that most influenced the author. Ideas are expressed in language through sequences of words called n-grams. Over the past several years, Google has been engaged in digitizing millions of books. As part of this endeavor, Google has created a database of n-grams extracted from these digitized books, and has made the database available to researchers online. This is the first time ever that such an extensive repository of cultural data has been made available. This study develops and tests an original method for utilizing Google's database to identify the cultural time period that most influenced the author of a published work. Several undisputed literary works are examined, from which sets of n-grams are extracted and compared against the Google database. The frequency and distribution of n-gram matches allow us to determine the cultural time period that most influenced the author. The method is also tested against several literary works having uncertain or disputed authorship and period of composition. The results suggest that the method developed provides a reasonable approximation of the time period of greatest cultural influence for each book. Unexpectedly, the results tend to support conclusions reached by another researcher with regard to prior literary influences on the Ern Malley Poems. In addition, they lend support to a well-known alternate theory on the authorship of the Book of Mormon.;

504 a| Includes bibliographical references.;

650 0 a| Computational linguistics.=| ^A92497;

650 0 a| Authorship, Disputed.=| ^A117731;

650 0 a| Literary style=| ^A15553;

650 0 a| Influence (Literary, artistic, etc.)=| ^A60655;

610 20 a| Google Library Project.=| ^A1004057;

653 a| Computer science;

653 a| Linguistics;

653 a| Sociology;

700 1 a| Tabrizi, M. H. N.?| UNAUTHORIZED;

710 2 a| East Carolina University.b| Department of Computer Science.?| UNAUTHORIZED;

856 40 z| Access via ScholarShipu| http://hdl.handle.net/10342/4102;

949 o| jgml;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 3255375;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 3255375-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 1/16/2013x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 3255375-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 1/16/2013x| ETDz| HERESOURCE;

Using n-grams to identify time periods of cultural influence / by Gregory P. Knight.

Author/creator	Knight, Gregory P.
Other author	Tabrizi, M. H. N.
Other author	East Carolina University. Department of Computer Science.
Format	Theses and dissertations
Publication Info	[Greenville, N.C.] : East Carolina University, 2012.
Description	92 pages : illustrations (some color), digital, PDF file
Supplemental Content	Access via ScholarShip
Subjects	Google Library Project. Computational linguistics. Authorship, Disputed. Literary style Influence (Literary, artistic, etc.)

Summary	An author's literary style is influenced by the cultural time period in which the author lives. The author's ideas, and the words chosen to express them, can help identify the cultural time period that most influenced the author. Ideas are expressed in language through sequences of words called n-grams. Over the past several years, Google has been engaged in digitizing millions of books. As part of this endeavor, Google has created a database of n-grams extracted from these digitized books, and has made the database available to researchers online. This is the first time ever that such an extensive repository of cultural data has been made available. This study develops and tests an original method for utilizing Google's database to identify the cultural time period that most influenced the author of a published work. Several undisputed literary works are examined, from which sets of n-grams are extracted and compared against the Google database. The frequency and distribution of n-gram matches allow us to determine the cultural time period that most influenced the author. The method is also tested against several literary works having uncertain or disputed authorship and period of composition. The results suggest that the method developed provides a reasonable approximation of the time period of greatest cultural influence for each book. Unexpectedly, the results tend to support conclusions reached by another researcher with regard to prior literary influences on the Ern Malley Poems. In addition, they lend support to a well-known alternate theory on the authorship of the Book of Mormon.
General note	Presented to the faculty of the Department of Computer Science.
General note	Advisor: Nasseh Tabrizi.
General note	Title from PDF t.p. (viewed Feb. 1, 2013).
Dissertation note	M.S. East Carolina University 2012.
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.

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Using n-grams to identify time periods of cultural influence / by Gregory P. Knight.

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