| On Synthetic Data for Back Translation | Oct 20, 2023 | de-enNMT | CodeCode Available | 0 | 5 |
| Fully Character-Level Neural Machine Translation without Explicit Segmentation | Oct 10, 2016 | de-enMachine Translation | CodeCode Available | 0 | 5 |
| OmniNet: Omnidirectional Representations from Transformers | Mar 1, 2021 | de-enFew-Shot Learning | CodeCode Available | 0 | 5 |
| Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses | Oct 15, 2020 | de-enfr-en | CodeCode Available | 0 | 5 |
| Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMT | Jun 2, 2023 | de-enMachine Translation | CodeCode Available | 0 | 5 |
| DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation | Jun 7, 2022 | de-enMachine Translation | CodeCode Available | 0 | 5 |
| Escaping the sentence-level paradigm in machine translation | Apr 25, 2023 | de-enMachine Translation | CodeCode Available | 0 | 5 |
| Hint-Based Training for Non-Autoregressive Machine Translation | Sep 15, 2019 | de-enMachine Translation | CodeCode Available | 0 | 5 |
| Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET | Feb 10, 2022 | de-enMachine Translation | CodeCode Available | 0 | 5 |
| Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space Geometry | Apr 18, 2021 | de-enMachine Translation | CodeCode Available | 0 | 5 |
