Papers with MTNT
MTNT: A Testbed for Machine Translation of Noisy Text (D18-1)
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| Challenge: | Noisy input text can cause disastrous mistranslations in most modern machine translation systems. |
| Approach: | They propose a benchmark dataset for Machine Translation of Noisy Text (MTNT) they use reddit comments and professionally sourced translations to examine noise types. |
| Outcome: | The proposed dataset can provide an attractive testbed for noise-robust machine translation systems. |
Ask Language Model to Clean Your Noisy Translation Data (2023.findings-emnlp)
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| Challenge: | Neural machine translation models exhibit a noticeable decline in translation quality when exposed to noisy input. |
| Approach: | They use a dataset to evaluate the robustness of NMT models against noisy inputs. |
| Outcome: | The proposed dataset cleaners the noise from the target sentences while preserving the semantic integrity of the original sentences. |