A parallel 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 translations of documents in each other subset. Moreover, it is required that the translation relation is known, i.e., that given a document in one of the subset (i.e., languages), it is known what documents in the other subset are its translations. The statistical analysis of parallel corpora is at the heart of most methods for cross-language text mining.
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(2017). Parallel Corpus. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_627
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