yhavinga/ccmatrix

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB We show that margin-based bitext mining in LASER's multilingual sentence space can be applied to monolingual corpora of billions of sentences to produce high quality aligned translation data. We use thirty-two snapshots of a curated common crawl corpus [1] totaling 69 billion unique sentences. Using one unified approach for 80 languages, we were able to mine 10.8 billion parallel sentences, out of which only 2.9 billion are aligned with English. IMPORTANT: Please cite reference [2][3] if you use this data. [1] Guillaume We

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