The first neural machine translation system for the Erzya language
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Abstract (arXiv)
We present the first neural machine translation system for translation between the endangered Erzya language and Russian and the dataset collected by us to train and evaluate it. The BLEU scores are 17 and 19 for translation to Erzya and Russian respectively, and more than half of the translations are rated as acceptable by native speakers. We also adapt our model to translate between Erzya and 10 other languages, but without additional parallel data, the quality on these directions remains low. We release the translation models along with the collected text corpus, a new language identification model, and a multilingual sentence encoder adapted for the Erzya language. These resources will be available at https://github.com/slone-nlp/myv-nmt.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 16 of its 29 references that are in the map. First posted on arXiv 19 Sep 2022.
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16 of 29 references.
References · 16
- 2015Neural Machine Translation of Rare Words with Subword Unitscited by 2,898
- 2022No Language Left Behind: Scaling Human-Centered Machine Translationcited by 1,290
- 2016Bag of Tricks for Efficient Text Classificationcited by 869
- 2020Language-agnostic BERT Sentence Embeddingcited by 621
- 2016Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Modelscited by 299
- 2020Multilingual Translation with Extensible Multilingual Pretraining and Finetuningcited by 287
- 2019CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEBcited by 177
- 2020When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Modelscited by 131
- 2018Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddingscited by 83
- 2022Building Machine Translation Systems for the Next Thousand Languagescited by 69
- 2021Facebook AI WMT21 News Translation Task Submissioncited by 57
- 2022Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptationcited by 44
4 more
- 2021When Word Embeddings Become Endangeredcited by 6
- 2021Evaluating Transferability of BERT Models on Uralic Languagescited by 6
- 2022Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translationcited by 5
- 2022Sub-Word Alignment Is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine Translationcited by 3
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Citing papers per year: 2023: 1; 2024: 3; 2025: 3.
7 papers.
- 2024Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpakcited by 2
- 2025Evaluating OpenAI GPT Models for Translation of Endangered Uralic Languages: A Comparison of Reasoning and Non-Reasoning Architecturescited by 2
- 2023Sentiment Analysis Using Aligned Word Embeddings for Uralic Languagescited by 1
- 2024Neural machine translation system for Lezgian, Russian and Azerbaijani languagescited by 1
- 2024Dialectal and Low-Resource Machine Translation for Aromaniancited by 1
- 2025The first open machine translation system for the Chechen languagecited by 0
- 2025Filling the Gap for Uzbek: Creating Translation Resources for Southern Uzbekcited by 0
- 2025Evaluating OpenAI GPT Models for Translation of Endangered Uralic Languages: A Comparison of Reasoning and Non-Reasoning Architectures18 Dec 2025
- 2025Filling the Gap for Uzbek: Creating Translation Resources for Southern Uzbek20 Aug 2025
- 2025The first open machine translation system for the Chechen language16 Jul 2025
- 2024Dialectal and Low-Resource Machine Translation for Aromanian23 Oct 2024
- 2024Neural machine translation system for Lezgian, Russian and Azerbaijani languages7 Oct 2024
- 2024Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak6 Sep 2024
- 2023Sentiment Analysis Using Aligned Word Embeddings for Uralic Languages24 May 2023