NLP Analysis of Folksonomies: An examination of the Matukar language

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2012
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Swarthmore College. Dept. of Linguistics
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Thesis (B.A.)
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en_US
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Full copyright to this work is retained by the student author. It may only be used for non-commercial, research, and educational purposes. All other uses are restricted.
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Abstract
Folk taxonomies are powerful cultural tools for the categorization and utilization of the world in which a people live. The English language, for example, has a few folk taxa remaining; including 'fruits', 'vegetables', 'pets', 'farm animals', and 'evergreens'. Folk taxa are categories or logical groupings, usually referring to nature, which may have social and cultural relevance, but not necessarily possessing any scientific relatedness amongst their members. They are useful in day-to-day dealings with the environment, providing a catalogue grouped by salient features. Finding a language's folk taxonomy can often be difficult, with the lines drawn between categories not readily apparent. With this work I examine the theory behind folk taxonomic classification and attempt to devise methods for unearthing folk taxonomies with the help of Natural Language Processing.
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