The first open machine translation system for the Chechen language
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Abstract (arXiv)
We introduce the first open-source model for translation between the vulnerable Chechen language and Russian, and the dataset collected to train and evaluate it. We explore fine-tuning capabilities for including a new language into a large language model system for multilingual translation NLLB-200. The BLEU / ChrF++ scores for our model are 8.34 / 34.69 and 20.89 / 44.55 for translation from Russian to Chechen and reverse direction, respectively. The release of the translation models is accompanied by the distribution of parallel words, phrases and sentences corpora and multilingual sentence encoder adapted to the Chechen language.
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References · 10
- 2015Neural Machine Translation of Rare Words with Subword Unitscited by 2,918
- 2018SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processingcited by 1,989
- 2018A Call for Clarity in Reporting BLEU Scorescited by 1,799
- 2020Multilingual Translation with Extensible Multilingual Pretraining and Finetuningcited by 287
- 2023MADLAD-400: A Multilingual And Document-Level Large Audited Datasetcited by 181
- 2023Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translationcited by 8
- 2022The first neural machine translation system for the Erzya languagecited by 7
- 2022Sub-Word Alignment Is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine Translationcited by 3
- 2024Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpakcited by 2
- 2024Neural machine translation system for Lezgian, Russian and Azerbaijani languagescited by 1
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