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@@ -64,3 +64,8 @@ data[[:space:]]preparation/darby/coptic_parallel_corpus_fr_darby.csv filter=lfs
 data[[:space:]]preparation/segond/coptic_parallel_corpus_fr_segond_clean.csv filter=lfs diff=lfs merge=lfs -text
 data[[:space:]]preparation/segond/coptic_parallel_corpus_fr_segond.csv filter=lfs diff=lfs merge=lfs -text
 data[[:space:]]preparation/training[[:space:]]data/train_clean_data.csv filter=lfs diff=lfs merge=lfs -text
+experiment[[:space:]]4/data/train_clean_data.csv filter=lfs diff=lfs merge=lfs -text
+experiment[[:space:]]4/data/train_noisy_10_data.csv filter=lfs diff=lfs merge=lfs -text
+experiment[[:space:]]4/data/train_noisy_100_data.csv filter=lfs diff=lfs merge=lfs -text
+experiment[[:space:]]4/data/train_noisy_30_data.csv filter=lfs diff=lfs merge=lfs -text
+experiment[[:space:]]4/data/train_noisy_50_data.csv filter=lfs diff=lfs merge=lfs -text

experiment 4/data/train_clean_data.csv

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experiment 4/data/train_noisy_100_data.csv

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experiment 4/data/train_noisy_10_data.csv

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experiment 4/data/train_noisy_30_data.csv

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experiment 4/data/train_noisy_50_data.csv

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experiment 4/evaluation/evaluation scores/hiero/best_worst_dataset_per_model_metric.csv

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+model,metric,best_dataset,best_score,worst_dataset,worst_score
+translation_hiero_clean,bertscore,clean,0.8438187074579605,noisy_100,0.7511763606985954
+translation_hiero_clean,bleurt,clean,0.516456270758828,noisy_100,0.22316901803220787
+translation_hiero_clean,comet,clean,0.6924087074827658,noisy_100,0.48261703874354495
+translation_hiero_clean,meteor,clean,0.534839897374168,noisy_100,0.3038084431426684
+translation_hiero_noisy_10,bertscore,clean,0.8437752612241327,noisy_100,0.7867860803457155
+translation_hiero_noisy_10,bleurt,clean,0.5139994786465413,noisy_100,0.3545551426147353
+translation_hiero_noisy_10,comet,clean,0.6901760986202383,noisy_100,0.5866520480546232
+translation_hiero_noisy_10,meteor,clean,0.5322997350393163,noisy_100,0.36752260066606646
+translation_hiero_noisy_100,bertscore,clean,0.8385102529640067,noisy_100,0.800118333305398
+translation_hiero_noisy_100,bleurt,clean,0.4990277243650531,noisy_100,0.4134841177714606
+translation_hiero_noisy_100,comet,clean,0.6781076679491017,noisy_100,0.6227188441647242
+translation_hiero_noisy_100,meteor,clean,0.5136173369382361,noisy_100,0.40382260074962945
+translation_hiero_noisy_30,bertscore,clean,0.8424072347275199,noisy_100,0.7955634248991535
+translation_hiero_noisy_30,bleurt,clean,0.5147729120791367,noisy_100,0.3905868284965623
+translation_hiero_noisy_30,comet,clean,0.6890247478264652,noisy_100,0.6086031097255341
+translation_hiero_noisy_30,meteor,clean,0.5271785615266223,noisy_100,0.38984436314734944
+translation_hiero_noisy_50,bertscore,clean,0.8412645031328071,noisy_100,0.7988065561203107
+translation_hiero_noisy_50,bleurt,clean,0.5088798387716078,noisy_100,0.40588904073691534
+translation_hiero_noisy_50,comet,clean,0.6849208623170853,noisy_100,0.6200348707502835
+translation_hiero_noisy_50,meteor,clean,0.5247113461372122,noisy_100,0.39928909303330606

experiment 4/evaluation/evaluation scores/hiero/detailed_model_performance_per_dataset.csv

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+dataset,model,bertscore,bleurt,comet,meteor
+clean,translation_hiero_clean,0.8319,0.4972,0.6815,0.4995
+clean,translation_hiero_noisy_10,0.8316,0.4964,0.6788,0.4964
+clean,translation_hiero_noisy_100,0.8271,0.4818,0.6676,0.4822
+clean,translation_hiero_noisy_30,0.8312,0.4976,0.6791,0.4943
+clean,translation_hiero_noisy_50,0.83,0.4921,0.6743,0.4921
+noisy_10,translation_hiero_clean,0.8253,0.4735,0.6651,0.4845
+noisy_10,translation_hiero_noisy_10,0.8283,0.4839,0.6699,0.4877
+noisy_10,translation_hiero_noisy_100,0.8261,0.4776,0.6649,0.4797
+noisy_10,translation_hiero_noisy_30,0.8293,0.4891,0.6742,0.4893
+noisy_10,translation_hiero_noisy_50,0.8285,0.4849,0.6708,0.4879
+noisy_100,translation_hiero_clean,0.7616,0.2316,0.4863,0.3349
+noisy_100,translation_hiero_noisy_10,0.8003,0.3658,0.5921,0.4113
+noisy_100,translation_hiero_noisy_100,0.8147,0.4264,0.6294,0.4506
+noisy_100,translation_hiero_noisy_30,0.8101,0.4047,0.6164,0.4356
+noisy_100,translation_hiero_noisy_50,0.8129,0.4193,0.6268,0.4448
+noisy_30,translation_hiero_clean,0.8089,0.4122,0.6186,0.4445
+noisy_30,translation_hiero_noisy_10,0.822,0.4524,0.6493,0.4697
+noisy_30,translation_hiero_noisy_100,0.8241,0.4655,0.6568,0.4726
+noisy_30,translation_hiero_noisy_30,0.8246,0.4652,0.658,0.4764
+noisy_30,translation_hiero_noisy_50,0.8244,0.466,0.6561,0.476
+noisy_50,translation_hiero_clean,0.795,0.3643,0.582,0.4163
+noisy_50,translation_hiero_noisy_10,0.8148,0.4257,0.6299,0.4526
+noisy_50,translation_hiero_noisy_100,0.821,0.4559,0.6498,0.466
+noisy_50,translation_hiero_noisy_30,0.8192,0.4474,0.6432,0.4634
+noisy_50,translation_hiero_noisy_50,0.8205,0.4523,0.6471,0.4657

experiment 4/evaluation/evaluation scores/hiero/summary_best_model_per_metric.csv

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+model,bertscore,bleurt,comet,meteor
+translation_hiero_clean,0.8046,0.3958,0.6067,0.436
+translation_hiero_noisy_10,0.8194,0.4449,0.644,0.4635
+translation_hiero_noisy_100,0.8226,0.4615,0.6537,0.4702
+translation_hiero_noisy_30,0.8229,0.4608,0.6542,0.4718
+translation_hiero_noisy_50,0.8233 🏆,0.4629 🏆,0.655 🏆,0.4733 🏆

experiment 4/evaluation/evaluation scores/opus/best_worst_dataset_per_model_metric.csv

@@ -0,0 +1,21 @@
+model,metric,best_dataset,best_score,worst_dataset,worst_score
+translation_opus_clean,bertscore,clean,0.857565848794702,noisy_100,0.776439353047985
+translation_opus_clean,bleurt,clean,0.5754867510895615,noisy_100,0.35481168905349625
+translation_opus_clean,comet,clean,0.7368631856082237,noisy_100,0.5739587652356657
+translation_opus_clean,meteor,clean,0.5872431845235423,noisy_100,0.37251690224791195
+translation_opus_noisy_10,bertscore,clean,0.8619080463500872,noisy_100,0.8079794297887855
+translation_opus_noisy_10,bleurt,clean,0.581953054661416,noisy_100,0.45810074506659215
+translation_opus_noisy_10,comet,clean,0.7405696678855648,noisy_100,0.6576505549354096
+translation_opus_noisy_10,meteor,clean,0.5946501868127313,noisy_100,0.4397014589260494
+translation_opus_noisy_100,bertscore,clean,0.8533009364180368,noisy_100,0.8175166728970122
+translation_opus_noisy_100,bleurt,clean,0.5570556609546893,noisy_100,0.4910954408194513
+translation_opus_noisy_100,comet,clean,0.7237011936123241,noisy_100,0.6806444985613431
+translation_opus_noisy_100,meteor,clean,0.5713317406166546,noisy_100,0.46604134473082304
+translation_opus_noisy_30,bertscore,clean,0.8573510292458207,noisy_100,0.8126875178862925
+translation_opus_noisy_30,bleurt,clean,0.5730151625375633,noisy_100,0.4774091392959634
+translation_opus_noisy_30,comet,clean,0.733291816609363,noisy_100,0.6678173016297491
+translation_opus_noisy_30,meteor,clean,0.5881183656651939,noisy_100,0.455885870718942
+translation_opus_noisy_50,bertscore,clean,0.8563903461580407,noisy_100,0.8164863164702507
+translation_opus_noisy_50,bleurt,clean,0.564110511224972,noisy_100,0.4850765487102613
+translation_opus_noisy_50,comet,clean,0.7291690881325774,noisy_100,0.6776402697171251
+translation_opus_noisy_50,meteor,clean,0.5845261250116934,noisy_100,0.467795342687961

experiment 4/evaluation/evaluation scores/opus/detailed_model_performance_per_dataset.csv

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+dataset,model,bertscore,bleurt,comet,meteor
+clean,translation_opus_clean,0.8499,0.5641,0.7306,0.5625
+clean,translation_opus_noisy_10,0.8519,0.5676,0.7328,0.5638
+clean,translation_opus_noisy_100,0.8455,0.5473,0.7192,0.5459
+clean,translation_opus_noisy_30,0.8485,0.56,0.7267,0.5603
+clean,translation_opus_noisy_50,0.8479,0.5531,0.7234,0.5588
+noisy_10,translation_opus_clean,0.8439,0.545,0.7172,0.5491
+noisy_10,translation_opus_noisy_10,0.8492,0.5568,0.7254,0.5569
+noisy_10,translation_opus_noisy_100,0.8441,0.5438,0.7166,0.5431
+noisy_10,translation_opus_noisy_30,0.8466,0.5526,0.7215,0.5545
+noisy_10,translation_opus_noisy_50,0.846,0.5449,0.7181,0.5538
+noisy_100,translation_opus_clean,0.788,0.3659,0.5789,0.4114
+noisy_100,translation_opus_noisy_10,0.8218,0.4712,0.6645,0.488
+noisy_100,translation_opus_noisy_100,0.8313,0.5048,0.6877,0.5129
+noisy_100,translation_opus_noisy_30,0.8262,0.491,0.675,0.5017
+noisy_100,translation_opus_noisy_50,0.8287,0.4963,0.6827,0.5091
+noisy_30,translation_opus_clean,0.8289,0.4923,0.6787,0.5108
+noisy_30,translation_opus_noisy_10,0.842,0.5335,0.7081,0.5384
+noisy_30,translation_opus_noisy_100,0.8414,0.5332,0.7086,0.5363
+noisy_30,translation_opus_noisy_30,0.8422,0.5388,0.7109,0.5449
+noisy_30,translation_opus_noisy_50,0.8429,0.5359,0.7116,0.5456
+noisy_50,translation_opus_clean,0.8165,0.4565,0.6504,0.4783
+noisy_50,translation_opus_noisy_10,0.8365,0.5136,0.6947,0.5219
+noisy_50,translation_opus_noisy_100,0.8377,0.5235,0.7015,0.5288
+noisy_50,translation_opus_noisy_30,0.8382,0.5217,0.7014,0.5325
+noisy_50,translation_opus_noisy_50,0.8377,0.519,0.698,0.5326

experiment 4/evaluation/evaluation scores/opus/summary_best_model_per_metric.csv

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+model,bertscore,bleurt,comet,meteor
+translation_opus_clean,0.8254,0.4848,0.6712,0.5024
+translation_opus_noisy_10,0.8403,0.5285,0.7051,0.5338
+translation_opus_noisy_100,0.84,0.5305,0.7067,0.5334
+translation_opus_noisy_30,0.8403,0.5328 🏆,0.7071 🏆,0.5388
+translation_opus_noisy_50,0.8406 🏆,0.5298,0.7067,0.54 🏆