Papers with Low-resource machine translation
AraBench: Benchmarking Dialectal Arabic-English Machine Translation (2020.coling-main)
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| Challenge: | Existing efforts to translate Arabic dialects to English are limited due to the lack of evaluation benchmarks. |
| Approach: | They propose an evaluation suite for Arabic to English machine translation using existing Arabic resources. |
| Outcome: | The evaluation suite for Arabic to English machine translation is based on existing evaluation benchmarks. |
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 . |