A comparable corpus (pl. corpora) is a document collection composed of two or more disjoint subsets, each written in a different language, such that documents in each subset are on a same topic as the documents in the others. The prototypical example of a comparable corpora is a collection of newspaper article written in different languages and reporting about the same events: while they will not be, strictly speaking, the translation of one another, they will share most of the semantic content. Some methods for cross-language text mining rely, totally or partially, on the statistical properties of comparable corpora.
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(2011). Comparable Corpus. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_144
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DOI: https://doi.org/10.1007/978-0-387-30164-8_144
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