User:Cwf2

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|departmental_affiliation = [http://www.classics.buffalo.edu/ Classics Department]<br/>
|departmental_affiliation = [http://www.classics.buffalo.edu/ Classics Department]<br/>
|institutional_affiliation = [http://www.buffalo.edu University at Buffalo]<br/>
|institutional_affiliation = [http://www.buffalo.edu University at Buffalo]<br/>
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|office_location = 348 Porter<br/>
 
|email = [mailto:forstall@buffalo.edu forstall@buffalo.edu]<br/>
|email = [mailto:forstall@buffalo.edu forstall@buffalo.edu]<br/>
|URI =<br/>
|URI =<br/>
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|name = Chris Forstall
|name = Chris Forstall
|narrative = Background<br/>
|narrative = Background<br/>
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|narrative content = I've spent time in both the sciences and the humanities. My primary interest is in what makes human beings produce poetry. I like to use text-processing tools like perl, sed and awk to solve problems, but I also have some experience with GIS and remote sensing.<br/>When I had free time, I often spent it reading Lawrence Durrell and Flann O'Brien, and otherwise in general indolence.<br/>
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|narrative content = <p>I've spent time in both the sciences and the humanities. My primary interest is in what makes human beings produce poetry. I like to use text-processing tools like perl, sed and awk to solve problems, but I also have some experience with GIS and remote sensing.</p>
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<p>When I had free time, I often spent it reading Lawrence Durrell and Flann O'Brien, caring for goats and chickens, and otherwise in general indolence.</p>
|digital interests = Digital interests<br/>
|digital interests = Digital interests<br/>
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|digital interests content = My current project is an examination of the Homeric epos using authorship attribution methods. I've compared the Iliad to the Odyssey using a feature sets composed of n-grams at the phoneme level and classification with machine learning techniques. I'd like to look more closely at each poem to try to pick apart intrapoem heterogeneity. My goal is to be able to tie quantifiable observations to current oral-formulaic theory (particularly theory from a cognitive angle).
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|digital interests content = <p>Currently I'm working with [http://vast.uccs.edu/wjs3 Dr. Walter Scheirer] of the University of Colorado at Colorado Springs to apply the tools of authorship attribution to Latin poetry. We examine patterns in bi-gram frequencies, noting variation by metrical form as well as by author.
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I'm also interested in the role of the Internet in independent and amateur Classics scholarship.
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</p>
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<p>My long-term project is an examination of the Homeric epos using authorship attribution methods. I've compared the Iliad to the Odyssey using a feature sets composed of n-grams at the phoneme level and classification with machine learning techniques. I'd like to look more closely at each poem to try to pick apart intrapoem heterogeneity. My goal is to be able to tie quantifiable observations to current oral-formulaic theory (particularly theory from a cognitive angle).</p>
}}
}}

Revision as of 20:31, 8 August 2010

Chris Forstall
Graduate Student in Classics
Chris Forstall

Chris Forstall
Research interests: Oral Formulaic Composition
Institutional affiliation: University at Buffalo
Departmental affiliation: Classics Department
Office location: {{{office_location}}}
E-mail: forstall@buffalo.edu
URI:
Membership status: Student member
Digital projects: Becoming Poetics: an online journal
Textual analysis

Chris Forstall

Background

I've spent time in both the sciences and the humanities. My primary interest is in what makes human beings produce poetry. I like to use text-processing tools like perl, sed and awk to solve problems, but I also have some experience with GIS and remote sensing.

When I had free time, I often spent it reading Lawrence Durrell and Flann O'Brien, caring for goats and chickens, and otherwise in general indolence.


Digital interests

Currently I'm working with Dr. Walter Scheirer of the University of Colorado at Colorado Springs to apply the tools of authorship attribution to Latin poetry. We examine patterns in bi-gram frequencies, noting variation by metrical form as well as by author.

My long-term project is an examination of the Homeric epos using authorship attribution methods. I've compared the Iliad to the Odyssey using a feature sets composed of n-grams at the phoneme level and classification with machine learning techniques. I'd like to look more closely at each poem to try to pick apart intrapoem heterogeneity. My goal is to be able to tie quantifiable observations to current oral-formulaic theory (particularly theory from a cognitive angle).

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