SlowGuess/NAACL_2022_OCR huggingface dataset:
Table 11: Hyper-parameters for training the speech normalizers.
ID	Es-En	Fr-En	En-Es	En-Fr
1	0.0005	0.0003	0.0003	0.0003
2	0.0003	0.0003	0.0003	0.0003
3	0.0003	0.0003	0.0003	0.0003
4	0.0003	0.0003	0.0003	0.0003
5	0.0003	0.0003	0.0003	0.0003
10	0.0005	0.0005	0.0005	0.0005
11	0.0005	0.0003	0.0005	0.0005
12	0.0005	0.0005	0.0005	0.0005
Table 12: Learning rate for S2UT model training.
E Dev BLEU
Table 13 shows the BLEU scores on the Europarl-ST dev sets from systems in Table 4 and Table 5.
ID	Es-En	Fr-En	En-Es	En-Fr
1	15.4	16.0	15.9	14.7
2	18.4	17.4	19.1	15.5
3	20.5	19.8	20.5	16.2
4	21.4	21.0	20.8	17.6
5	21.6	21.1	22.0	17.8
7	22.3	20.5	21.8	18.0
10	19.0	18.7	19.8	17.2
11	20.5	20.7	20.8	17.8
12	23.8	23.7	23.8	19.3
14	23.7	23.6	25.0	20.6
16	28.6	29.1	-	-
Table 13: BLEU scores on the Europarl-ST dev sets