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Word choice is dependent on the cultural context of writers and theirsubjects. Different words are used to describe similar actions, objects, andfeatures based on factors such as class, race, gender, geography and politicalaffinity. Exploratory techniques based on locating and counting words may,therefore, lead to conclusions that reinforce culturally inflected boundaries.We offer a new method, the DualNeighbors algorithm, for linking thematicallysimilar documents both within and across discursive and linguistic barriers toreveal cross-cultural connections. Qualitative and quantitative evaluations ofthis technique are shown as applied to two cultural datasets of interest toresearchers across the humanities and social sciences. An open-sourceimplementation of the DualNeighbors algorithm is provided to assist in itsapplication.

Cross-Discourse and Multilingual Exploration of Textual Corpora with the DualNeighbors Algorithm