mlsanityData to 7 Oct 2026

Data Augmentation and Terminology Integration for Domain-Specific Sinhala-English-Tamil Statistical Machine Translation

arXiv 2011.02821 ↗First posted 5 Nov 2020cs.CLcited by 16

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Abstract (arXiv)

Out of vocabulary (OOV) is a problem in the context of Machine Translation (MT) in low-resourced languages. When source and/or target languages are morphologically rich, it becomes even worse. Bilingual list integration is an approach to address the OOV problem. This allows more words to be translated than are in the training data. However, since bilingual lists contain words in the base form, it will not translate inflected forms for morphologically rich languages such as Sinhala and Tamil. This paper focuses on data augmentation techniques where bilingual lexicon terms are expanded based on case-markers with the objective of generating new words, to be used in Statistical machine Translation (SMT). This data augmentation technique for dictionary terms shows improved BLEU scores for Sinhala-English SMT.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Nov 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 7; 2025: 2; 2026: 2.

16 papers.

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  1. 2021Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languagescited by 133
  2. 2022Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation?cited by 24
  3. 2024Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corporacited by 13
  4. 2023Leveraging Auxiliary Domain Parallel Data in Intermediate Task Fine-tuning for Low-resource Translationcited by 5
  5. 2024Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translationcited by 4
  6. 2024SiTSE: Sinhala Text Simplification Dataset and Evaluationcited by 3
  7. 2025Improving the quality of Web-mined Parallel Corpora of Low-Resource Languages using Debiasing Heuristicscited by 3
  8. 2022Data Augmentation to Address Out-of-Vocabulary Problem in Low-Resource Sinhala-English Neural Machine Translationcited by 2
  9. 2024Exploiting Domain-Specific Parallel Data on Multilingual Language Models for Low-resource Language Translationcited by 2
  10. 2025Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translationcited by 2
  11. 2021Metric Learning in Multilingual Sentence Similarity Measurement for Document Alignmentcited by 1
  12. 2024A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and Sinhalacited by 1
4 more
  1. 2024Towards Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST)cited by 1
  2. 2026EnSiTa - A Trilingual Multi-Domain Parallel Dataset and Benchmark for Domain-Specific Machine Translationcited by 1
  3. 2024Unsupervised Bilingual Lexicon Induction for Low Resource Languagescited by 0
  4. 2026OasisSimp: An Open-source Asian-English Sentence Simplification Datasetcited by 0