Representing Spatial Structure through Maps and Language: Lord of the Rings Encodes the Spatial Structure of Middle Earth

Autor/inn/en	Louwerse, Max M.; Benesh, Nick
Titel	Representing Spatial Structure through Maps and Language: Lord of the Rings Encodes the Spatial Structure of Middle Earth
Quelle	In: Cognitive Science, 36 (2012) 8, S.1556-1569 (14 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0364-0213
DOI	10.1111/cogs.12000
Schlagwörter	Spatial Ability; Maps; Language Processing; Cognitive Mapping; Geographic Location; Municipalities; Computational Linguistics; Mathematical Linguistics; English Literature; Twentieth Century Literature; Fiction; Tennessee + Suchen Sie Ihr Suchwort? Räumliches Vorstellungsvermögen; Map; Karte; Sprachverarbeitung; Magistrat; Linguistics; Computerlinguistik; Mathematische Linguistik; Mathematische Sprache; Englische literatur; Fiktion
Abstract	Spatial mental representations can be derived from linguistic and non-linguistic sources of information. This study tested whether these representations could be formed from statistical linguistic frequencies of city names, and to what extent participants differed in their performance when they estimated spatial locations from language or maps. In a computational linguistic study, we demonstrated that co-occurrences of cities in Tolkien's "Lord of the Rings" trilogy and "The Hobbit" predicted the authentic longitude and latitude of those cities in Middle Earth. In a human study, we showed that human spatial estimates of the location of cities were very similar regardless of whether participants read Tolkien's texts or memorized a map of Middle Earth. However, text-based location estimates obtained from statistical linguistic frequencies better predicted the human text-based estimates than the human map-based estimates. These findings suggest that language encodes spatial structure of cities, and that human cognitive map representations can come from implicit statistical linguistic patterns, from explicit non-linguistic perceptual information, or from both. (Contains 1 table, 2 figures, and 2 notes.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10