Lingvanex Translation Quality Report

February 27, 2024

The goal of this report is to showcase the translation quality of Lingvanex language models according to two most popular machine translation evaluation metrics.

Flores is an open-source and publicly available data test set that was released by Facebook Research and has the biggest language pair coverage.

Quality metrics description

BLEU

BLEU is an automatic metric based on n-grams. It measures the precision of n-grams of the machine translation output compared to the reference, weighted by a brevity penalty to punish overly short translations. We use a particular implementation of BLEU, called sacreBLEU. It outputs corpus scores, not segment scores.

References

Papineni, Kishore, S. Roukos, T. Ward and Wei-Jing Zhu. “Bleu: a Method for Automatic Evaluation of Machine Translation.” ACL (2002).
Post, Matt. “A Call for Clarity in Reporting BLEU Scores.” WMT (2018).

COMET

COMET (Crosslingual Optimized Metric for Evaluation of Translation) is a metric for automatic evaluation of machine translation that calculates the similarity between a machine translation output and a reference translation using token or sentence embeddings. Unlike other metrics, COMET is trained on predicting different types of human judgments in the form of post-editing effort, direct assessment, or translation error analysis.

References

COMET - https://machinetranslate.org/comet
COMET: High-quality Machine Translation Evaluation - https://unbabel.github.io/COMET/html/index.html#comet-high-quality-machine-translation-evaluation

Language pairs

Note: The lower size of models on the hard drive means the lower consumption of GPU memory which leads to decreased deployment costs. Lower model size has better performance in translation time. The approximate usage of GPU memory is calculated as hard drive model size x 1.2

Language Pair	Model's Size, mb	Test Data	BLEU Metric	COMET Metric
Afrikaans - English	113,91	Flores 101	52,33	86,43
English - Afrikaans	113,91	Flores 101	42,52	86,92
Albanian - English	113,91	Lingvanex	55,31	86,68
English - Albanian	113,91	Lingvanex	55,84	87,88
Amharic - English	113,91	Flores 101	30,42	83,78
English - Amharic	113,91	Flores 101	14,13	87,4
Arabic - English	190,63	Flores 101	44,83	87,65
English - Arabic	190,63	Flores 101	33,21	87,81
Armenian - English	113,91	Flores 101	37,47	86,93
English - Armenian	113,91	Flores 101	22,09	89,32
Armenian - Russian	190,63	Flores 200	20,97	85,06
Russian - Armenian	190,63	Flores 200	15,71	87,00
Azerbaijani - English	113,91	Flores 101	23,76	85,88
English - Azerbaijani	113,91	Flores 101	17,79	84,93
Azerbaijani - Russian	190,63	Flores 200	16,95	85,23
Russian - Azerbaijani	190,63	Flores 200	13,10	83,64
Belarusian - English	113,91	Flores 101	19,77	80,89
English - Belarusian	113,91	Flores 101	15,54	85,16
Bengali - English	113,91	Flores 101	33,93	87,86
English - Bengali	113,91	Flores 101	20,98	86,42
Bosnian - English	113,91	Flores 101	41,62	87,65
English - Bosnian	113,91	Flores 101	35,57	90,61
Bulgarian - English	184,00	Flores 101	42,16	87,45
English - Bulgarian	184,00	Flores 101	44,1	89,99
English - Basque	113,91	Flores 101	26,52	83,88
Catalan - English	113,91	Lingvanex	46,31	87,97
English - Catalan	113,91	Flores 101	45,62	87,67
Cebuano - English	113,91	Flores 101	41.17	79,24
English - Cebuano	113,91	Flores 101	35,46	71,8
Chichewa - English	113,91	Flores 101	22,86	69,22
English - Chichewa	113,91	Flores 101	17,44	64,71
Chinese (Simplified) - English	190,63	Flores 101	27,96	84,88
English - Chinese (Simplified)	190,63	Flores 101	38,47	85,47
Chinese (Traditional) - English	190,63	Flores 101	25,11	83,55
English - Chinese (Traditional)	190,63	Lingvanex	30,25	85,67
Corsican - English	113,91	Lingvanex	56,71	83,19
English - Corsican	113,91	Flores 101	54,21	76,34
Croatian - English	184,00	Flores 101	37,1	86,84
English - Croatian	184,00	Flores 101	31,03	88,9
Czech - English	184,00	Flores 101	41,83	88,33
English - Czech	184,00	Flores 101	35,96	90,77
Danish - English	184,00	Flores 101	49,75	89,88
English - Danish	184,00	Flores 101	46,29	89,46
Dutch - English	184,00	Flores 101	34,04	87,2
English - Dutch	184,00	Flores 101	29,71	88,1
Estonian - English	113,91	Flores 101	39,11	88,79
English - Estonian	113,91	Flores 101	30,74	91,03
Finnish - English	184,00	Flores 101	36,87	89,76
English - Finnish	184,00	Flores 101	27,06	90,96
French - English	195,05	Flores 101	47,82	89,17
English - French	195,05	Flores 101	53,25	88,4
Frisian - English	113,91	Lingvanex	63,19	83,68
English - Frisian	113,91	Lingvanex	54,23	80,62
Georgian - Russian	190,63	Flores 200	18,6	85,8
Russian - Georgian	190,63	Flores 200	13,85	85,77
English - Georgian	113,91	Flores 101	16,56	87,13
German - English	190,65	Flores 101	46,54	89,07
English - German	184,02	Flores 101	43,09	88,15
Greek - English	184,02	Flores 101	36,52	87,22
English - Greek	184,02	Flores 101	28,69	88,44
English - Gujarati	113,91	Flores 101	28,00	88,61
Gaelic-English	113,91	Flores 101	25,24	71,42
English-Gaelic	113,91	Flores 101	24,72	80,92
Galician - English	113,91	Flores 101	40,58	87,52
English - Galician	113,91	Flores 101	41,08	87,03
English - Hausa	113,91	Flores 101	28,93	80,76
Hawaiian - English	113,91	Lingvanex	45,12	71,92
English - Hawaiian	113,91	Lingvanex	64,27	78,56
Hebrew - English	113,91	Flores 101	44,92	87,78
English - Hebrew	113,91	Flores 101	35,36	87,8
Hindi - English	113,91	Lingvanex	38,78	87,66
English - Hindi	113,91	Flores 101	38,86	78,84
Hungarian - English	184,00	Flores 101	35,15	87,27
English - Hungarian	184,00	Flores 101	28,48	87,44
Igbo - English	113,91	Flores 101	21,85	64,78
English - Igbo	113,91	Flores 101	19,01	71,94
Indonesian - English	184,00	Flores 101	45,8	89,14
English - Indonesian	184,37	Flores 101	50,51	92,04
Italian - English	184,00	Flores 101	34,74	87,89
English - Italian	184,00	Flores 101	32,57	32,57
Irish - English	113,91	Flores 101	44,15	85,29
English - Irish	113,91	Flores 101	38,86	81,81
Japanese - English	190,63	Flores 101	29,16	86,71
English - Japanese	190,63	Flores 101	35,86	89,8
Khmer - English	113,91	Flores 101	26,12	81,08
English - Khmer	113,91	Flores 101	4,77	82,37
Kinyarwanda - English	113,91	Flores 101	28,36	70,85
English - Kinyarwanda	113,91	Flores 101	25,84	66,67
Korean - English	113,91	Flores 101	29,68	86,22
English - Korean	113,91	Flores 101	32,42	88,94
Kurdish - English	113,91	Flores 101	22,94	74,97
English - Kurdish	113,91	Flores 101	12,85	80,84
Kyrgyz - English	113,91	Flores 101	24,29	84,79
English - Kyrgyz	113,91	Flores 101	16,65	88,14
English - Kannada	113,91	Flores 101	25,33	85,00
Kazakh - Russian	190,63	Flores 200	22,6	87,36
Russian - Kazakh	190,63	Flores 200	19,05	89,42
Kyrgyz - Russian	190,63	Flores 200	16,38	86,32
Russian - Kyrgyz	190,63	Flores 200	13,43	87,62
Lao - English	113,91	Flores 101	31,45	84,11
English - Lao	113,91	Flores 101	59,54	83,24
Latin - English	113,91	Lingvanex	24,24	74,81
English - Latin	113,91	Lingvanex	14,83	77,64
Latvian - English	113,91	Flores 101	36,74	86,88
English - Latvian	113,91	Flores 101	36,05	89,45
Lithuanian - English	113,91	Flores 101	34,16	85,51
English - Lithuanian	113,91	Flores 101	30,84	89,61
Luxembourgish - English	113,91	Flores 101	38,69	74,82
English - Luxembourgish	113,91	Flores 101	27,28	57,29
Malay - English	113,91	Flores 101	42,73	87,6
English - Malay	113,91	Flores 101	44,07	89,38
English - Malayalam	113,91	Flores 101	23,38	88,92
Maltese - English	113,91	Flores 200	53,11	81,83
English - Maltese	113,91	Flores 200	46,23	74,05
Maori - English	113,91	Flores 101	22,93	64,7
English - Maori	113,91	Flores 101	17,44	61,51
Marathi - English	113,91	Flores 101	37,94	87,49
English - Marathi	113,91	Flores 101	21,42	75,73
Mongolian- English	113,91	Lingvanex	31,4	85,43
English - Mongolian	113,91	Flores 101	20,07	89,00
Myanmar - English	113,91	Flores 101	23,13	82,43
English - Myanmar	113,91	Flores 101	55,72	87,25
Malagasy - English	113,91	Lingvanex	38,6	83,1
Norwegian - English	184,00	Flores 101	43,74	88,27
English - Norwegian	184,02	Flores 101	35,03	89,4
Odia - English	113,91	Flores 101	32,34	86,77
English - Odia	113,91	Flores 101	21,09	81,84
Persian - English	190,63	Flores 101	38,6	87,17
English - Persian	190,63	Flores 101	26,76	87,7
Polish - English	184,00	Flores 101	30,94	85,72
English - Polish	184,00	Flores 101	24,24	89,21
Pushto - English	113,91	Flores 101	27,05	79,68
English - Pushto	113,91	Flores 101	15,04	77,94
Portuguese (Brazil) - English	184,00	Lingvanex	65,11	92,95
English - Portuguese (Brazil)	184,02	Lingvanex	62,75	93,84
Portuguese - English	184,02	Flores 101	51,38	89,71
English - Portuguese	184,02	Flores 101	50,93	89,27
Romanian - English	184,00	Flores 101	43,02	88,68
English - Romanian	179,58	Flores 101	41,01	88,84
Russian - English	190,65	Flores 101	37,86	86,63
English - Russian	190,65	Flores 101	34,64	89,37
Russian - Belarusian	190,63	Lingvanex	57,35	25,78
Serbian - English	184,00	Flores 101	43,06	86,68
English - Serbian	184,00	Flores 101	36,87	88,49
Sesotho - English	113,91	Flores 101	32,91	72,64
English - Sesotho	113,91	Flores 101	20,36	66,18
Sinhala - English	113,91	Flores 101	36,73	87,92
English - Sinhala	113,91	Flores 101	21,42	87,65
Slovak - English	113,91	Flores	38,18	86,85
English - Slovak	113,91	Flores	35,75	88,34
Slovenian - English	113,91	Flores 101	34,13	86,55
English - Slovenian	113,91	Flores 101	30,66	87,36
Spanish - English	184,02	Flores 101	29,91	86,35
English - Spanish	184,00	Flores 101	29,43	86,31
Sundanese - English	113,91	Lingvanex	17,17	74,84
English - Sundanese	113,91	Lingvanex	11,58	77,33
Swedish - English	184,00	Flores 101	51,89	90,13
English - Swedish	184,00	Flores 101	49,39	91,24
Tajik - English	113,91	Flores 101	32,61	76,9
English - Tajik	113,91	Flores 101	24,97	76,28
Tajik - Russian	190,63	Flores 200	23,15	79,69
Russian - Tajik	190,63	Flores 200	19,38	75,59
Tamil - English	113,91	Flores 101	35,17	86,48
English - Tamil	113,91	Flores 101	23,12	89,55
Tatar - English	113,91	Flores 101	29,91	79,25
English - Tatar	113,91	Lingvanex	18,69	69,09
Telugu-English	113,91	Flores 101	42,02	87,74
English-Telugu	113,91	Flores 101	28,3	87,6
Thai - English	184,02	Flores 101	31,63	87,71
English - Thai	113,91	Flores 101	63,68	88,57
Turkish - English	184,00	Flores 101	41,85	89,63
English - Turkish	184,00	Flores 101	32,48	88,68
Turkmen - English	113,91	Flores 101	32,68	78,45
English - Turkmen	113,91	Flores 101	22,91	67,00
Ukrainian - English	190,63	Flores 101	41,15	86,92
English - Ukrainian	184,00	Flores 101	30,2	86,99
Ukrainian - Russian	190,63	Flores 200	28,07	91,66
Russian - Ukrainian	190,63	Flores 200	25,62	92,16
Urdu - English	113,91	Flores 101	31,09	84,46
English - Urdu	113,91	Flores 101	24,8	81,71
Uyghur - English	113,91	Flores 101	24,97	83,96
English - Uyghur	113,91	Flores 101	22,66	86,21
Uzbek - Russian	190,63	Flores 200	22,11	85,4
Russian - Uzbek	190,63	Flores 200	16,86	87,37
Vietnamese - English	184,00	Flores 101	38,13	87,3
English - Vietnamese	184,00	Flores 101	43,84	86,95
Xhosa - English	113,91	Flores 101	34,34	76,53
English - Xhosa	113,91	Flores 101	18,9	77,05
Yiddish - English	113,91	Flores 101	41,89	76,88
English - Yiddish	113,91	Flores 101	10,88	67,67
Yoruba - English	113,91	Flores 101	14,06	56,35
English - Yoruba	113,91	Lingvanex	3,57	55,39
Zulu - English	113,91	Flores 101	36,83	78,00
English - Zulu	113,91	Flores 101	21,06	78,12

Translator for

Lingvanex Translation Quality Report

Quality metrics description

BLEU

References

COMET

References

Language pairs

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Translator for

Lingvanex Translation Quality Report

Quality metrics description

BLEU

References

COMET

References

Language pairs

Request more information

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