A multiword expression (MWE) can be defined as a combination of two or more words that, together, result in a special meaning. Statistical association measures are widely used in MWE identification/acquisition due to the collocational behavior of these expressions. MWEs like take place in English and tener lugar in Spanish, which are translation equivalents of each other, have high degrees of association measures (in their own languages). In this paper, we propose to combine the association measures of translation-equivalent expressions in order to rank expressions. In this way, expressions are scored according to a new cross-lingual association measure, which more reliably identifies them as being MWEs.
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