Implicit translation

Abstract

This article describes a joint embedding approach to matching documents in multiple languages. The approach is general, operating on dissimilarity matrices, and is thus applicable to any problem of fusing disparate information. We apply it to a problem of implicit translation, in which documents in two different languages are matched. WIREs Comp Stat 2012, 4:28–34. doi: 10.1002/wics.181 This article is categorized under: Data: Types and Structure > Text Data Statistical Learning and Exploratory Methods of the Data Sciences > Text Mining