Improving Vector Space Word Representations Using Multilingual Correlation

@inproceedings{Faruqui2014ImprovingVS,
  title={Improving Vector Space Word Representations Using Multilingual Correlation},
  author={Manaal Faruqui and Chris Dyer},
  booktitle={EACL},
  year={2014}
}
The distributional hypothesis of Harris (1954), according to which the meaning of words is evidenced by the contexts they occur in, has motivated several effective techniques for obtaining vector space semantic representations of words using unannotated text corpora. This paper argues that lexico-semantic content should additionally be invariant across languages and proposes a simple technique based on canonical correlation analysis (CCA) for incorporating multilingual evidence into vectors… CONTINUE READING
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Contextual correlates of semantic similarity

George A. Miller, Walter G. Charles.
Language and Cognitive Processes, 6(1):1–28. • 1991
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