mlsanityData to 7 Oct 2026

ParaCotta: Synthetic Multilingual Paraphrase Corpora from the Most Diverse Translation Sample Pair

arXiv 2205.04651 ↗First posted 10 May 2022cs.CLcited by 6

Not on the map. Why?

Abstract (arXiv)

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 textttParaBank2. According to our evaluation, our synthetic paraphrase pairs are semantically similar and lexically diverse.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 11 of its 29 references that are in the map. First posted on arXiv 10 May 2022.

Builds on

11 of 29 references.

References · 11

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processingcited by 1,973
  3. 2018A Call for Clarity in Reporting BLEU Scorescited by 1,790
  4. 2020Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillationcited by 591
  5. 2018Marian: Fast Neural Machine Translation in C++cited by 202
  6. 2020Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasingcited by 114
  7. 2021Beyond Fair Pay: Ethical Implications of NLP Crowdsourcingcited by 52
  8. 2017Learning to Paraphrase for Question Answeringcited by 46
  9. 2017ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translationscited by 44
  10. 2020Paraphrase Augmented Task-Oriented Dialog Generationcited by 43
  11. 2019ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translationcited by 38

Built on by

Cited by year

Citing papers per year: 2022: 2; 2023: 0; 2024: 2; 2025: 2.

6 papers.

  1. 2022T5Score: Discriminative Fine-tuning of Generative Evaluation Metricscited by 18
  2. 2024Toward Informal Language Processing: Knowledge of Slang in Large Language Modelscited by 6
  3. 2025A survey of diversity quantification in natural language processing: The why, what, where and howcited by 4
  4. 2022NusaCrowd: A Call for Open and Reproducible NLP Research in Indonesian Languagescited by 2
  5. 2024Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Modelscited by 0
  6. 2025MahaParaphrase: A Marathi Paraphrase Detection Corpus and BERT-based Modelscited by 0