We release our synthetic parallel paraphrase corpus across 17 languages:
Arabic, Catalan, Czech, German, English, Spanish, Estonian, French, Hindi,
Indonesian, Italian, Dutch, Romanian, Russian, Swedish, Vietnamese, and
Chinese. Our method relies only on monolingual data and a neural machine
translation system to generate paraphrases, hence simple to apply. We generate
multiple translation samples using beam search and choose the most lexically
diverse pair according to their sentence BLEU. We compare our generated corpus
with the \texttt{ParaBank2}. According to our evaluation, our synthetic
paraphrase pairs are semantically similar and lexically diverse.

使用神经机器翻译系统，通过 beam search 生成多个候选翻译样本，选择词汇最多样化的一对生成句式相似，语义丰富、跨 17 种语言的人工合成平行释义语料库，并用 BLEU 对比了其与 ParaBank2，结果表明其生成的句子语义类似而且词汇丰富度较高。