mlsanityData to 14 Oct 2026

TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation

arXiv 2206.03933 ↗First posted 27 May 2022cs.CL cs.AI cs.LGcited by 12

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Abstract (arXiv)

We present TURJUMAN, a neural toolkit for translating from 20 languages into Modern Standard Arabic (MSA). TURJUMAN exploits the recently-introduced text-to-text Transformer AraT5 model, endowing it with a powerful ability to decode into Arabic. The toolkit offers the possibility of employing a number of diverse decoding methods, making it suited for acquiring paraphrases for the MSA translations as an added value. To train TURJUMAN, we sample from publicly available parallel data employing a simple semantic similarity method to ensure data quality. This allows us to prepare and release AraOPUS-20, a new machine translation benchmark. We publicly release our translation toolkit (TURJUMAN) as well as our benchmark dataset (AraOPUS-20).

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 22 of its 59 references that are in the map. First posted on arXiv 27 May 2022.

Builds on

22 of 59 references.

References · 22

  1. 2017Attention Is All You Needcited by 60,361
  2. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
  3. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  4. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  5. 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,548
  6. 2019The Curious Case of Neural Text Degenerationcited by 2,916
  7. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,818
  8. 2019fairseq: A Fast, Extensible Toolkit for Sequence Modelingcited by 1,488
  9. 2018Hierarchical Neural Story Generationcited by 1,193
  10. 2020Multilingual Denoising Pre-training for Neural Machine Translationcited by 1,035
  11. 2020Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillationcited by 593
  12. 2021Datasets: A Community Library for Natural Language Processingcited by 530
10 more
  1. 2019MASS: Masked Sequence to Sequence Pre-training for Language Generationcited by 347
  2. 2017Data Augmentation for Low-Resource Neural Machine Translationcited by 139
  3. 2018Phrase-Based & Neural Unsupervised Machine Translationcited by 138
  4. 2021AraT5: Text-to-Text Transformers for Arabic Language Generationcited by 63
  5. 2019AraNet: A Deep Learning Toolkit for Arabic Social Mediacited by 14
  6. 2021Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translationcited by 10
  7. 2017QCRI Machine Translation Systems for IWSLT 16cited by 3
  8. 2016First Result on Arabic Neural Machine Translationcited by 2
  9. 2018A Recipe for Arabic-English Neural Machine Translationcited by 2
  10. 2019Simple Automatic Post-editing for Arabic-Japanese Machine Translationcited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 4; 2024: 3; 2025: 3; 2026: 2.

12 papers.