Table 2.
eng_Latn-xx | xx-eng_Latn | xx-yy | Average | |||||||
---|---|---|---|---|---|---|---|---|---|---|
All | High | Low | Very low | All | High | Low | Very low | All | All | |
(1) Baseline MoE | 44.8 | 54.3 | 41.4 | 39.0 | 56.2 | 64.0 | 53.4 | 52.5 | 41.9 | 47.6 |
(2) Baseline MoE + CL | 45.2 | 54.7 | 41.8 | 39.5 | 57.6 | 64.5 | 55.1 | 55.4 | 42.7 | 48.5 |
(2) Baseline MoE + CL + EOM | 45.4 | 52.9 | 41.6 | 41.2 | 57.2 | 61.4 | 55.1 | 56.4 | 44.9 | 51.0 |
We report chrF++ scores on FLORES-200 dev set on different types of language pairs. For eng_Latn-xx and xx-eng_Latn, we included all 199 pairs. For xx-yy, we randomly chose 200 directions. We observe that combining EOM and CL is particularly helpful for low and very low-resource languages. A language is defined as a very low resource if it has fewer than 100,000 samples across all pairings with any other language in our dataset. The highest score in each column is shown in bold.