Low Resource NMT

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Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (34 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Revisiting Low-Resource Neural Machine Translation: A Case Study
  28 May 2019 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  It has been shown that the performance of neural machine translation (NMT) drops starkly in low-resource conditions, underperforming phrase-based statistical machine translation (PBSMT) and requiring large amounts of…
• From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine Translation
  1 Dec 2024 1 repository listed
  Many of the world's languages have insufficient data to train high-performing general neural machine translation (NMT) models, let alone domain-specific models, and often the only available parallel data are small…
• Low-resource neural machine translation with morphological modeling
  3 Apr 2024 1 repository listed
  An attention augmentation scheme to the transformer model is proposed in a generic form to allow integration of pre-trained language models and also facilitate modeling of word order relationships between the source and…
• Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables
  24 Jul 2023 1 repository listed
  Despite the tremendous success of Neural Machine Translation (NMT), its performance on low-resource language pairs still remains subpar, partly due to the limited ability to handle previously unseen inputs, i.
• ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation
  8 Dec 2022 1 repository listed
  In this paper, we propose a novel transfer learning method for NMT, namely ConsistTL, which can continuously transfer knowledge from the parent model during the training of the child model.
• HFT: High Frequency Tokens for Low-Resource NMT
  1 Oct 2022 1 repository listed
  We also propose a new metric to measure the frequency coverage of a tokenizer’s vocabulary, based on a frequency rank weighted average of the frequency values of its items.
• Towards Better Chinese-centric Neural Machine Translation for Low-resource Languages
  9 Apr 2022 1 repository listed
  The last decade has witnessed enormous improvements in science and technology, stimulating the growing demand for economic and cultural exchanges in various countries.
• Sicilian Translator: A Recipe for Low-Resource NMT
  5 Oct 2021 1 repository listed
  With 17, 000 pairs of Sicilian-English translated sentences, Arba Sicula developed the first neural machine translator for the Sicilian language.
• Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on Inuktitut
  1 Oct 2020 1 repository listed
• JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation
  7 May 2020 1 repository listed
  Monolingual pre-training approaches such as MASS (MAsked Sequence to Sequence) are extremely effective in boosting NMT quality for languages with small parallel corpora.
• On Optimal Transformer Depth for Low-Resource Language Translation
  9 Apr 2020 1 repository listed
  Therefore, by showing that transformer models perform well (and often best) at low-to-moderate depth, we hope to convince fellow researchers to devote less computational resources, as well as time, to exploring overly…

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.