Customisation

Customisation of machine translation

Customisation of machine translation is used to accurately translate for the domain and reflect a specific terminology and style.

The most common type of customisation is fine-tuning on parallel data.

28 machine translation APIs and 3 quality estimation APIs support customisation.

28 machine translation APIs support customisation.

AISA, Amazon Translate, AppTek, DeepL, Elia , …

AISA | glossary support
Amazon Translate | glossary support | formality support | adaptive support
AppTek | formality support
DeepL | glossary support | formality support
Elia | glossary support
Google Translate | fine-tuning support | glossary support
Kakao | formality support
KantanMT | fine-tuning support | glossary support | adaptive support
Language Weaver | glossary support | adaptive support
Lilt | adaptive support
Microsoft Translator | fine-tuning support | glossary support
Mirai Translator | glossary support | adaptive support
ModernMT | adaptive support
Moses | fine-tuning support
Niutrans | glossary support
NpatMT | adaptive support
Omniscien Technologies | fine-tuning support | glossary support | formality support | adaptive support
Opus CAT | fine-tuning support
PangeaMT | glossary support | adaptive support
Papago Translation | glossary support | formality support
Phrase NextMT | glossary support | adaptive support
Sunda Translator | glossary support | adaptive support
SYSTRAN | fine-tuning support | glossary support
Textshuttle | fine-tuning support | glossary support | formality support
TexTra | glossary support
Tilde | fine-tuning support | glossary support | adaptive support
Ubiqus NMT | glossary support
Watson Language Translator | fine-tuning support | glossary support

3 quality estimation APIs support customisation.

ModelFront, KantanQES, Omniscien Confidence Scores