Feature Overview
Deploy Machine Translation immediately using pre-built engines
KantanFleet is designed for clients with limited or no training data who need to start Machine Translation (MT) projects immediately, or those who do not have enough data to create their own engines. It is a set of domain-specific, customisable, pre-built Custom Machine Translation (CMT) engines.
All training data sourced for our KantanFleet engines are publicly available and Intellectual Property Rights (IPR) cleared. Furthermore, the engines can be re-trained with client-specific content.
We are constantly adding pre-built engines to our KantanFleet for new language pairs and new domains or industry verticals.
- Click the domain name to view language combination available
Legal
(64 language pairs, 5,367,083,196 words)
| Language Pair | F-Measure | BLEU | TER | Word Count | ||
|---|---|---|---|---|---|---|
 |
English => Dutch |  |
75% | 73% | 39% | 120,910,941 |
 |
Spanish => English | |
79% | 74% | 32% | 117,771,056 |
|
Dutch => English | |
75% | 71% | 39% | 84,434,388 |
 |
French => English | |
77% | 74% | 34% | 119,093,823 |
 |
Italian => English | |
78% | 71% | 33% | 146,608,960 |
|
English => Portuguese |  |
73% | 67% | 38% | 54,496,561 |
|
Portuguese => English | |
80% | 75% | 29% | 124,455,591 |
|
English => Danish |  |
74% | 64% | 37% | 62,887,489 |
|
English => Polish |  |
71% | 71% | 39% | 89,827,564 |
|
English => Bulgarian |  |
78% | 78% | 31% | 64,737,820 |
|
English => Czech |  |
79% | 77% | 30% | 82,503,995 |
|
English => Greek |  |
76% | 74% | 33% | 78,328,480 |
|
English => Estonian |  |
65% | 60% | 50% | 115,008,627 |
|
Polish => English | |
82% | 83% | 28% | 63,905,493 |
|
Bulgarian => English | |
81% | 79% | 29% | 74,747,299 |
|
English => Finnish |  |
67% | 66% | 47% | 125,372,299 |
|
English => Lithuanian |  |
70% | 70% | 43% | 105,516,909 |
|
English => Romanian |  |
79% | 78% | 30% | 69,297,620 |
|
English => Latvian |  |
74% | 72% | 37% | 151,837,230 |
|
English => Slovak |  |
70% | 64% | 40% | 51,223,629 |
|
English => Slovenian |  |
76% | 75% | 33% | 125,025,786 |
 |
German => Spanish | |
73% | 63% | 43% | 99,224,970 |
|
German => Italian | |
69% | 60% | 46% | 38,248,677 |
|
German => French | |
70% | 69% | 47% | 82,083,875 |
|
German => Dutch | |
76% | 72% | 37% | 78,039,254 |
|
German => Bulgarian | |
68% | 61% | 47% | 39,890,654 |
|
German => Czech | |
70% | 64% | 43% | 71,526,532 |
|
German => Danish | |
70% | 62% | 48% | 58,284,132 |
|
German => Greek | |
67% | 58% | 48% | 67,865,297 |
|
German => Finnish | |
65% | 63% | 49% | 65,174,291 |
|
French => German | |
68% | 65% | 48% | 84,709,744 |
|
Italian => German | |
65% | 62% | 51% | 51,168,549 |
|
German => Croatian |  |
72% | 74% | 41% | 20,753,158 |
|
German => Hungarian |  |
71% | 62% | 45% | 84,628,263 |
|
German => Lithuanian | |
60% | 52% | 56% | 45,167,347 |
|
German => Latvian | |
64% | 54% | 51% | 49,562,862 |
|
German => Portuguese | |
70% | 62% | 47% | 50,279,642 |
|
German => Romanian | |
69% | 63% | 47% | 34,245,482 |
|
German => Swedish |  |
70% | 62% | 44% | 54,243,574 |
|
French => Bulgarian | |
70% | 61% | 41% | 36,195,756 |
|
French => Czech | |
69% | 64% | 42% | 94,452,495 |
|
French => Spanish | |
76% | 66% | 37% | 54,902,488 |
|
Italian => Spanish | |
72% | 63% | 41% | 57,350,801 |
|
Polish => German | |
67% | 64% | 49% | 151,098,176 |
|
English => Arabic |  |
78% | 72% | 31% | 111,957,032 |
|
Arabic => English | |
85% | 77% | 25% | 66,733,097 |
|
English => Chinese |  |
86% | 74% | 33% | 171,212,572 |
|
Dutch => German |  |
73% | 76% | 40% | 116,692,069 |
 |
Japanese => English | |
77% | 72% | 40% | 45,830,208 |
|
Danish => English | |
80% | 75% | 31% | 123,340,644 |
|
German => English | |
76% | 74% | 38% | 150,487,880 |
|
English => German | |
69% | 66% | 45% | 135,563,359 |
|
English => Spanish | |
79% | 70% | 33% | 108,702,777 |
|
English => French | |
73% | 69% | 39% | 106,869,808 |
|
English => Italian | |
76% | 71% | 33% | 114,527,952 |
|
English => Japanese | |
81% | 64% | 44% | 84,955,957 |
|
Czech => Slovak | |
68% | 51% | 42% | 39,883,193 |
|
English => Hungarian | |
66% | 61% | 54% | 71,803,250 |
|
French => Italian | |
70% | 64% | 41% | 95,023,051 |
|
Czech => English | |
81% | 76% | 30% | 152,967,455 |
|
French => Polish | |
64% | 56% | 49% | 47,330,793 |
|
French => Dutch | |
60% | 42% | 59% | 29,024,119 |
|
French => Swedish | |
66% | 61% | 47% | 48,458,141 |
|
French => Portuguese | |
74% | 68% | 36% | 48,632,260 |
None available with selected search terms
Technical
(25 language pairs, 1,954,774,268 words)
| Language Pair | F-Measure | BLEU | TER | Word Count | ||
|---|---|---|---|---|---|---|
|
English => German | |
70% | 68% | 44% | 75,441,660 |
|
English => Dutch | |
69% | 56% | 48% | 91,673,759 |
|
English => Swedish | |
74% | 65% | 36% | 48,997,484 |
|
English => Portuguese | |
72% | 65% | 40% | 52,889,818 |
|
French => English | |
74% | 64% | 37% | 76,713,727 |
|
Italian => English | |
77% | 66% | 34% | 42,816,339 |
|
Dutch => English | |
71% | 60% | 44% | 66,030,251 |
|
Japanese => English | |
77% | 67% | 38% | 73,667,944 |
|
Swedish => English | |
78% | 71% | 34% | 45,235,904 |
|
Portuguese => English | |
74% | 63% | 39% | 46,565,665 |
|
Spanish => English | |
74% | 63% | 38% | 43,065,706 |
|
English => Chinese | |
84% | 63% | 35% | 85,666,183 |
|
English => Danish | |
76% | 70% | 34% | 72,282,800 |
|
English => Romanian | |
73% | 65% | 38% | 23,774,553 |
|
German => English | |
74% | 65% | 40% | 51,920,619 |
|
German => French | |
73% | 66% | 42% | 53,652,838 |
|
French => German | |
68% | 61% | 45% | 63,617,761 |
|
French => Italian | |
76% | 66% | 35% | 103,730,543 |
 |
Portuguese => English | |
81% | 80% | 30% | 228,844,660 |
|
English => Spanish | |
72% | 60% | 42% | 57,504,103 |
|
English => French | |
81% | 75% | 28% | 132,673,616 |
|
English => Italian | |
76% | 71% | 34% | 73,880,404 |
|
English => Japanese | |
80% | 67% | 43% | 196,546,496 |
|
English => Portuguese | |
81% | 70% | 29% | 71,381,413 |
|
English => Czech | |
71% | 58% | 41% | 76,200,022 |
None available with selected search terms
Financial
(12 language pairs, 868,650,759 words)
| Language Pair | F-Measure | BLEU | TER | Word Count | ||
|---|---|---|---|---|---|---|
|
French => English | |
75% | 69% | 37% | 76,805,258 |
|
English => Spanish | |
74% | 63% | 40% | 58,173,382 |
|
English => Dutch | |
72% | 64% | 44% | 96,126,939 |
|
Spanish => English | |
77% | 66% | 36% | 52,695,653 |
|
Italian => English | |
81% | 78% | 30% | 76,866,767 |
|
Dutch => English | |
72% | 68% | 43% | 63,082,270 |
|
English => Portuguese | |
77% | 72% | 34% | 45,342,956 |
|
Portuguese => English | |
77% | 72% | 35% | 54,216,160 |
|
German => English | |
73% | 64% | 43% | 53,503,873 |
|
English => French | |
72% | 65% | 39% | 67,850,427 |
|
English => Italian | |
70% | 65% | 43% | 95,056,837 |
|
English => German | |
73% | 72% | 41% | 128,930,237 |
None available with selected search terms
Medical
(20 language pairs, 1,159,844,218 words)
| Language Pair | F-Measure | BLEU | TER | Word Count | ||
|---|---|---|---|---|---|---|
|
Spanish => English | |
75% | 63% | 38% | 58,194,214 |
|
Dutch => English | |
73% | 62% | 43% | 48,885,162 |
|
English => Dutch | |
73% | 61% | 42% | 63,665,888 |
|
Italian => English | |
75% | 63% | 37% | 50,788,141 |
|
French => English | |
82% | 80% | 26% | 77,012,251 |
|
English => Finnish | |
63% | 60% | 52% | 65,453,890 |
|
English => Portuguese | |
76% | 66% | 36% | 45,106,162 |
|
Portuguese => English | |
79% | 71% | 33% | 49,713,179 |
|
English => Danish | |
75% | 68% | 36% | 62,463,027 |
|
English => Romanian | |
75% | 68% | 36% | 31,521,915 |
|
English => Slovak | |
72% | 67% | 38% | 55,257,301 |
|
English => Estonian | |
69% | 68% | 45% | 35,606,966 |
|
English => Lithuanian | |
64% | 60% | 52% | 64,243,134 |
|
English => Latvian | |
66% | 61% | 48% | 60,208,537 |
|
English => German | |
68% | 60% | 46% | 62,501,831 |
|
Danish => English | |
79% | 76% | 32% | 57,918,911 |
|
German => English | |
72% | 63% | 44% | 70,829,072 |
|
English => Spanish | |
73% | 60% | 42% | 61,547,337 |
|
English => French | |
74% | 73% | 36% | 67,108,619 |
|
English => Italian | |
75% | 75% | 36% | 71,818,681 |
None available with selected search terms
Automotive
(17 language pairs, 1,395,819,909 words)
| Language Pair | F-Measure | BLEU | TER | Word Count | ||
|---|---|---|---|---|---|---|
|
English => German | |
72% | 66% | 42% | 81,818,342 |
|
English => French | |
75% | 68% | 35% | 137,838,088 |
|
French => English | |
79% | 74% | 32% | 107,624,282 |
|
Italian => English | |
77% | 72% | 34% | 71,204,929 |
|
English => Portuguese | |
73% | 64% | 38% | 37,800,295 |
|
Portuguese => English | |
79% | 73% | 31% | 50,172,730 |
|
Spanish => English | |
76% | 66% | 36% | 44,357,518 |
|
English => Japanese | |
79% | 63% | 45% | 126,231,852 |
|
Danish => English | |
74% | 68% | 39% | 33,235,555 |
|
English => Chinese | |
80% | 63% | 41% | 93,852,991 |
|
English => Swedish | |
74% | 66% | 36% | 68,265,265 |
|
German => English | |
73% | 68% | 42% | 95,518,660 |
|
Portuguese => English | |
81% | 80% | 30% | 228,844,660 |
|
English => Spanish | |
73% | 60% | 40% | 52,187,461 |
|
English => Italian | |
73% | 68% | 38% | 65,334,626 |
|
English => Portuguese | |
76% | 61% | 35% | 53,211,753 |
|
English => Danish | |
72% | 63% | 38% | 48,320,902 |
None available with selected search terms
NeuralMT
(43 language pairs, 3,217,008,347 words)
| Language Pair | F-Measure | BLEU | TER | Word Count | ||
|---|---|---|---|---|---|---|
|
Spanish => English | |
74% | 50% | 39% | 75,608,681 |
|
German => English | |
67% | 56% | 49% | 48,480,347 |
|
Italian => English | |
71% | 45% | 43% | 49,579,550 |
|
French => English | |
67% | 35% | 44% | 15,279,789 |
|
English => Italian | |
65% | 42% | 49% | 35,295,535 |
|
English => Danish | |
67% | 50% | 47% | 64,133,217 |
|
English => Arabic | |
56% | 34% | 58% | 74,196,057 |
|
Portuguese => English | |
77% | 69% | 34% | 123,165,984 |
|
English => Dutch | |
64% | 46% | 55% | 92,081,094 |
|
English => Portuguese | |
71% | 57% | 40% | 62,671,277 |
|
Arabic => English | |
69% | 45% | 45% | 74,894,401 |
|
English => Hindi |  |
53% | 35% | 69% | 14,327,068 |
|
Chinese => English | |
65% | 41% | 51% | 33,961,170 |
|
English => Finnish | |
56% | 46% | 60% | 166,839,970 |
 |
Japanese => English | |
66% | 48% | 47% | 29,095,534 |
|
English => Chinese | |
73% | 39% | 43% | 93,849,678 |
|
English => Swedish | |
69% | 59% | 45% | 63,905,135 |
|
French => Italian | |
66% | 45% | 48% | 138,093,900 |
|
English => Polish | |
66% | 60% | 46% | 146,678,678 |
|
English => Bulgarian | |
76% | 71% | 33% | 93,871,117 |
|
German => French | |
63% | 45% | 53% | 178,712,783 |
|
French => German | |
64% | 53% | 51% | 127,457,373 |
|
French => Spanish | |
74% | 57% | 38% | 84,578,809 |
|
English => Korean |  |
70% | 51% | 39% | 102,073,830 |
|
Hungarian => English | |
71% | 67% | 43% | 60,076,937 |
|
Spanish => French | |
71% | 61% | 42% | 87,607,747 |
|
English => Japanese |  |
71% | 43% | 45% | 88,305,779 |
|
Hindi => English | |
52% | 32% | 75% | 15,744,340 |
 |
Russian => English | |
61% | 28% | 58% | 114,155,902 |
|
English => German | |
65% | 55% | 50% | 155,519,886 |
|
English => Czech | |
62% | 41% | 51% | 15,218,335 |
|
English => Spanish | |
71% | 59% | 42% | 113,460,597 |
 |
Irish => English | |
78% | 64% | 31% | 19,818,392 |
|
English => Irish | |
70% | 57% | 43% | 19,459,360 |
|
English => Russian | |
55% | 33% | 59% | 146,059,269 |
 |
Turkish => English | |
63% | 37% | 54% | 15,194,065 |
|
English => Turkish | |
58% | 35% | 56% | 17,552,746 |
|
English => French | |
72% | 61% | 40% | 133,346,643 |
|
English => Portuguese | |
71% | 54% | 41% | 53,211,843 |
|
French => Polish | |
63% | 54% | 49% | 47,330,847 |
|
French => Dutch | |
59% | 41% | 63% | 29,024,173 |
|
French => Swedish | |
70% | 61% | 42% | 48,458,195 |
|
French => Portuguese | |
74% | 66% | 36% | 48,632,314 |
None available with selected search terms
Here's what our members are saying:
We chose KantanMT over other MT-cloud providers due to Kantan\'s outstanding support and openness.
Mindaugas Kazlaus, CEO, SynergiumKantanMT is ideal for teaching purposes due to its highly customizable nature.
R.B. Pinero, Dr., UCL, London
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