Computing Word Senses by Semantic Mirroring and Spectral Graph Partitioning
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چکیده
Using the technique of ”semantic mirroring” a graph is obtained that represents words and their translations from a parallel corpus or a bilingual lexicon. The connectedness of the graph holds information about the different meanings of words that occur in the translations. Spectral graph theory is used to partition the graph, which leads to a grouping of the words according to different senses. We also report results from an evaluation using a small sample of seed words from a lexicon of Swedish and English adjectives.
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تاریخ انتشار 2010