Translation Memories as Baselines for Low-Resource Machine Translation (2022.lrec-1)
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| Challenge: | low-resource machine translation research often requires building baselines to benchmark progress in translation quality. |
| Approach: | They argue that using available text as a translation memory baseline is simple and effective . they say that if you have parallel text, you have a TM . |
| Outcome: | a new study shows that using available text as a translation memory baseline is simple and effective . low-resource machine translation is often of too low quality to use directly, the authors argue . |
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