Intento

The State of Machine Translation 2023

Intento’s annual report with an independent multi-domain evaluation of Machine Translation Engines

37
MT Engines
22
Language pairs
9
Content Domains
37
MT Engines
22
Language pairs
9
Content Domains
Trusted globally by

What‘s changed in the MT market since 2022

37 MT Engines evaluated

Including 5 Large Language Models from AI21, Anthropic, and OpenAI

AI21

Generative text AI

Alibaba

eCommerce MT

Alibaba Cloud

General

Amazon

Translate

Anthropic

Next-generation AI assistant

Apptek

Neural Machine Translation

Baidu

Translate API

Cloud Translation

Translation API

COTOHA (NTT)

Translator

DeepL

API

Elia

Elhuyarren itzult-zaile automatikoa

Globalese

Machine Translation

Google Cloud

Advanced Translation

IBM Watson

eCommerce MT

Kawamura by NICT

Translation Engine

Microsoft

Language Translator

ModernMT

Real-time

Mirai

Translator

Naver

Papago NMT Commercial

NiuTrans

Translation Cloud Platform

NVIDIA

NeMo framework

OpenAI

GPT LLM

Oracle

Machine Translation

Pangeanic

Machine Translation API

PROMT

Cloud API

RoyalFlush Finance

Translation

SAP

Machine Translation

SYSTRAN

PNMT

TartuNLP

Neurotõlge MT

Tencent Cloud

TMT API

Tilde

Machine Translation API

TREBE

Machine Translation API

Ubiqus

Translation API

Yandex

Translate API

Youdao

Cloud Translation API

AI21

Generative text AI

Alibaba

eCommerce MT

Alibaba Cloud

General

Amazon

Translate

Anthropic

Next-generation AI assistant

Apptek

Neural Machine Translation

Baidu

Translate API

Cloud Translation

Translation API

COTOHA (NTT)

Translator

DeepL

API

Elia

Elhuyarren itzult-zaile automatikoa

Globalese

Machine Translation

Google Cloud

Advanced Translation

IBM Watson

eCommerce MT

Kawamura by NICT

Translation Engine

Microsoft

Language Translator

ModernMT

Real-time

Mirai

Translator

Naver

Papago NMT Commercial

NiuTrans

Translation Cloud Platform

NVIDIA

NeMo framework

OpenAI

GPT LLM

Oracle

Machine Translation

Pangeanic

Machine Translation API

PROMT

Cloud API

RoyalFlush Finance

Translation

SAP

Machine Translation

SYSTRAN

PNMT

TartuNLP

Neurotõlge MT

Tencent Cloud

TMT API

Tilde

Machine Translation API

TREBE

Machine Translation API

Ubiqus

Translation API

Yandex

Translate API

Youdao

Cloud Translation API

22 language pairs, 9 content domains

Our datasets cover:

22 language pairs (English-to-Spanish, French, Italian, Portuguese, German, Dutch, Ukrainian, Korean, Japanese, Chinese, and Arabic)

9 content domains (General, Colloquial, IT, Entertainment, Hospitality, Education, Healthcare, Legal, and Financial)

“We launched our inaugural MT report in 2017, at a time when there were only eleven stock models available. Fast forward six years, and the MT landscape has exploded, with six-fold growth in MT platforms and 15x more language pairs. In addition, we see new automated customization possibilities such as domain adaptation and custom glossaries, and the emergence of Large Language Models, which can handle translation among other tasks.”

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

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