The State of Machine Translation 2022
Get your copy of Intento’s annual report providing an independent evaluation of machine translation engines throughout the landscape.
What‘s changed in the MT market since 2021
- The MT market is growing: 45 vendors
- MT covers 125K language pairs
- 16 best performing MT Engines
- Open-source engines are in the 2nd tier
- Four domains require a careful MT choice
- Two domains need more customization
31 MT engines evaluated
Including the recently open-sourced NLLB from Meta AI
AISA
Neural Machine Translation API
Alibaba
eCommerce MT
Alibaba Cloud
General
Amazon
Translate
Apptek
Neural Machine Translation
Baidu
Translate API
DeepL
API
Elia
Elhuyarren itzult-zaile automatikoa
Globalese
Machine Translation
Google Cloud
Advanced Translation
GTCom
YeeCloud MT
IBM Watson
eCommerce MT
Meta AI
NLLB
Microsoft
Language Translator
ModernMT
Real-time
Naver
Papago NMT Commercial
NiuTrans
Translation Cloud Platform
Pangeanic
Machine Translation API
PROMT
Cloud API
RoyalFlush Finance
Translation
Rozetta T-400
Machine Translation API
SYSTRAN
PNMT
Tilde
Machine Translation API
Tencent Cloud
TMT API
Ubiqus
Translation API
Yandex
Translate API
Youdao
Cloud Translation API
XL8
Machine Translation
AISA
Neural Machine Translation API
Alibaba
eCommerce MT
Alibaba Cloud
General
Amazon
Translate
Apptek
Neural Machine Translation
Baidu
Translate API
DeepL
API
Elia
Elhuyarren itzult-zaile automatikoa
Globalese
Machine Translation
Google Cloud
Advanced Translation
GTCom
YeeCloud MT
IBM Watson
eCommerce MT
Meta AI
NLLB
Microsoft
Language Translator
ModernMT
Real-time
Naver
Papago NMT Commercial
NiuTrans
Translation Cloud Platform
Pangeanic
Machine Translation API
PROMT
Cloud API
RoyalFlush Finance
Translation
Rozetta T-400
Machine Translation API
SYSTRAN
PNMT
Tilde
Machine Translation API
Tencent Cloud
TMT API
Ubiqus
Translation API
Yandex
Translate API
Youdao
Cloud Translation API
XL8
Machine Translation
11 language pairs, 9 industry sectors
Our datasets cover 11 language pairs, including English-to-Spanish, French, Italian, Portuguese, German, Dutch, Ukranian, Korean, Japanese, Chinese, and Arabic.
This year, we covered 9 industry sectors, including General, Colloquial, IT, Entertainment, Hospitality, Education, Healthcare, Legal, and Financial.
“We published our first MT report back in 2017 when all you could quickly get were stock models from nine MT providers. Five years later, we see six times more available MT platforms, 10x more language pairs, about the same x200 price difference, and new automated customization possibilities such as domain adaptation and custom glossaries.”
Konstantin Savenkov
Intento CEO and co-founder
“We’re pleased to extend our expertise to drive exceptional MT evaluation results in the latest Intento report. The caliber of our lingosets (golden datasets) is backed by a talented force of translation and data scientists that have enabled e2f to partner with some of the top players in the localization and AI landscape. As a result, enterprises are attaining a new standard of excellence for conversational AI.”
Michel Lopez
CEO, e2f