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the claim
Round-trip translation is an effective machine translation quality evaluation technique
the verdict
SUPPORTED
the evidence backs this
refutedsupported
the weight of evidence
2 sources for · 0 against

Retrieved evidence supports the claim that round-trip translation serves as an effective technique for machine translation quality evaluation, provided methodological artifacts like copying mechanisms are controlled for.

Evidence for · 2
2022 · cited by 10
The study demonstrates that round-trip translation can be successfully used for automatic evaluation without references after accounting for copying mechanisms.
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The analysis

Papers [4] and [9] explicitly utilize and validate round-trip translation as an evaluation technique for machine translation performance and quality analysis. Other papers discuss round-trip translation for data augmentation or training (e.g., [0], [1], [2], [6], [10]), but papers [4] and [9] directly address its efficacy as an evaluation technique, supporting the claim.

More for · 1
2023 · cited by 5
The study uses round-trip translation as a reliable translation evaluation procedure to analyze disparities in machine translation quality across demographic groups.
Everything we examined (12)
We also searched for evidence AGAINST this claim, not only for it.
  1. APE at Scale and Its Implications on MT Evaluation Biasespeer-reviewedno side takennot shown: read and judged not to bear on this claim
  2. Augmenting Neural Machine Translation through Round-Trip Training Approachpeer-reviewedno side takennot shown: read and judged not to bear on this claim
  3. Grammatical Error Correction through Round-Trip Machine Translationpeer-reviewedno side takennot shown: read and judged not to bear on this claim
  4. Enhancing Access to Online Education: Quality Machine Translation of MOOC Contentpeer-reviewedno side takennot shown: read and judged not to bear on this claim
  5. Rethinking Round-Trip Translation for Machine Translation Evaluationpeer-reviewedsupports
  6. Evaluation of the accuracy and safety of machine translation of patient-specific discharge instructions: a comparative analysis.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  7. Text Repair Model for Neural Machine Translationpeer-reviewedno side takennot shown: read and judged not to bear on this claim
  8. English-Manipuri Machine Translation: An empirical study of different Supervised and Unsupervised Methodspeer-reviewedno side takennot shown: read and judged not to bear on this claim
  9. Improving Cascaded Unsupervised Speech Translation with Denoising Back-translationpeer-reviewedno side takennot shown: read and judged not to bear on this claim
  10. A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslationpeer-reviewedsupports
  11. Improving Low-Resource Machine Translation via Round-Trip Reinforcement Learningpeer-reviewedno side takennot shown: read and judged not to bear on this claim
  12. Cosmin reporting guideline for studies on measurement properties of patient-reported outcome measures and its explanation and elaboration document: translation into Brazilian Portuguese.peer-reviewedno side takennot shown: read and judged not to bear on this claim
The paper trail · every fact has a biography
first checked06 Aug 2026
judged → SUPPORTED · 7006 Aug 2026
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