SlideShare a Scribd company logo
Machine Translation
Benchmark
by Intento
July 2017
• New MT providers: Global Tone Communications
(best for English-to-Chinese so far)
• Improved MT quality: Google, Microsoft, Baidu
• Language coverage: no changes
• Added latency analytics (slide 8)
• Added API changes analytics (slide 9)
July 2017© Intento, Inc.
Changes since May 2017
Overview
• General Purpose Machine Translation Services with Public APIs
• IBM Watson Language Translator
• SDL Cloud Machine Translation
• Google Cloud Translation API
• Yandex Translate API
• Baidu Translate API
• Microsoft Translator Text API
• Systran REST Translation API
• PROMT Cloud API
• GTCom YeeCloud MT
• Benchmark Dimensions
• Performance vs. Price
• Language Coverage
• API Latency
• API Change frequency
May 2017© Intento, Inc.
Performance vs. Price
Dataset WMT2016-17
Domain: News
Pairs: ru-en, en-ru, de-en, en-de, cs-
en, en-cs, tr-en, en-tr, fi-en, en-fi, ro-en,
en-ro, en-zh, zh-en
Performance
Normalised hLEPOR score
aggregated across all
language pairs in the dataset
Affordability = 1/price
Using public volume-based
pricing tiers
Legend
• performance range
• price range
• average position
© Intento, Inc. July 2017
Language coverage
Unique
language
pairs -
supported
exclusively by
one provider
1
100
10000
Google Yandex Microsoft Baidu Systran SDL MT PROMT IBM Watson GTCom
22
4
1
154
906
1 246
3 094
3
20
84
104109
756
3 306
8 556
10 506
Total
Unique
Supported language pairs
© Intento, Inc. July 2017
Language groups by
web popularity*:
P1 - ≥ 2.0% websites
P2 - 0.5%-2% websites
P3 - 0.1-0.3% websites
P4 - <0.1% websites
100% 94% 64%
88%
30%
P1 P2 P3 P4
P1
P2
P3
P4
59%
100%
100%
94%
64%
100% 94%
94%
63%
63% 59%
Supported language pairs by popularity
* https://w3techs.com/technologies/overview/content_language/all© Intento, Inc.
Language coverage
44%
of possible
language pairs
July 2017
by service provider
Google Cloud
Translation API
Microsoft
Translator Text API
Yandex
Translate API
Systran
REST Translation API
SDL Cloud
Machine Translation
PROMT
Cloud API
IBM Watson
Language Translation
July 2017© Intento, Inc.
Language coverage
Baidu
Translate API
Based on 100
1-segment
requests for
en-de pair
Service latency
Latency,seconds
0,1
1
10
100
Google Microsoft PROMT Yandex SDL MT GTCom IBM Baidu Systran
75% 95% 99.9%
July 2017© Intento, Inc.
API & Documentation changes in July 2017:
Change frequency
SDL MT 27
IBM 14
Google 13
Baidu 3
July 2017© Intento, Inc.
Discover the best service providers for
your AI task
Evaluate performance on your own data
at a fraction of the potential cost
saving
Access any provider with no effort
using to our Single API
Intento Service Platform
July 2017© Intento, Inc.
Intento
https://inten.to
Konstantin Savenkov
CEO Intento, Inc.

<ks@inten.to>

More Related Content

What's hot

What's hot (11)

Cloud Artificial Intelligence Landscape
Cloud Artificial Intelligence LandscapeCloud Artificial Intelligence Landscape
Cloud Artificial Intelligence Landscape
 
State of the Machine Translation by Intento (July 2018)
State of the Machine Translation by Intento (July 2018)State of the Machine Translation by Intento (July 2018)
State of the Machine Translation by Intento (July 2018)
 
EVALUATION IN USE: NAVIGATING THE MT ENGINE LANDSCAPE WITH THE INTENTO EVALUA...
EVALUATION IN USE: NAVIGATING THE MT ENGINE LANDSCAPE WITH THE INTENTO EVALUA...EVALUATION IN USE: NAVIGATING THE MT ENGINE LANDSCAPE WITH THE INTENTO EVALUA...
EVALUATION IN USE: NAVIGATING THE MT ENGINE LANDSCAPE WITH THE INTENTO EVALUA...
 
Machine Translation Insights
Machine Translation InsightsMachine Translation Insights
Machine Translation Insights
 
Building Multi-Purpose MT Portfolio
Building Multi-Purpose MT PortfolioBuilding Multi-Purpose MT Portfolio
Building Multi-Purpose MT Portfolio
 
State of the Domain-Adaptive Machine Translation by Intento (November 2018)
State of the Domain-Adaptive Machine Translation by Intento (November 2018)State of the Domain-Adaptive Machine Translation by Intento (November 2018)
State of the Domain-Adaptive Machine Translation by Intento (November 2018)
 
Dodging AI biases in future-proof Machine Translation solutions
Dodging AI biases in future-proof Machine Translation solutionsDodging AI biases in future-proof Machine Translation solutions
Dodging AI biases in future-proof Machine Translation solutions
 
Intento Enterprise MT Hub
Intento Enterprise MT HubIntento Enterprise MT Hub
Intento Enterprise MT Hub
 
Intento Enterprise MT Hub
Intento Enterprise MT HubIntento Enterprise MT Hub
Intento Enterprise MT Hub
 
Intento Enterprise MT Hub
Intento Enterprise MT HubIntento Enterprise MT Hub
Intento Enterprise MT Hub
 
Create Your Own Voice Assistant Using Watson and IBM Bluemix
Create Your Own Voice Assistant Using Watson and IBM BluemixCreate Your Own Voice Assistant Using Watson and IBM Bluemix
Create Your Own Voice Assistant Using Watson and IBM Bluemix
 

Similar to Intento Machine Translation Benchmark, July 2017

Maximising Machine Translation Return on Investment (KantanMT/Medialocate)
Maximising Machine Translation Return on Investment (KantanMT/Medialocate)Maximising Machine Translation Return on Investment (KantanMT/Medialocate)
Maximising Machine Translation Return on Investment (KantanMT/Medialocate)
kantanmt
 

Similar to Intento Machine Translation Benchmark, July 2017 (20)

Topic 4: The Magician's Hat: Turning Data into Business Intelligence (2)
Topic 4: The Magician's Hat: Turning Data into Business Intelligence (2)Topic 4: The Magician's Hat: Turning Data into Business Intelligence (2)
Topic 4: The Magician's Hat: Turning Data into Business Intelligence (2)
 
Microsoft - SEO - TAUS Tokyo Forum 2015
Microsoft - SEO - TAUS Tokyo Forum 2015Microsoft - SEO - TAUS Tokyo Forum 2015
Microsoft - SEO - TAUS Tokyo Forum 2015
 
Intento Enterprise MT Hub
Intento Enterprise MT HubIntento Enterprise MT Hub
Intento Enterprise MT Hub
 
Maximising Machine Translation Return on Investment (KantanMT/Medialocate)
Maximising Machine Translation Return on Investment (KantanMT/Medialocate)Maximising Machine Translation Return on Investment (KantanMT/Medialocate)
Maximising Machine Translation Return on Investment (KantanMT/Medialocate)
 
InterConnect 2017 : Programming languages in the enterprise: Which language s...
InterConnect 2017 : Programming languages in the enterprise: Which language s...InterConnect 2017 : Programming languages in the enterprise: Which language s...
InterConnect 2017 : Programming languages in the enterprise: Which language s...
 
IDEA 2020
IDEA 2020IDEA 2020
IDEA 2020
 
Machine Translation Quality - Are We There Yet? - Dag Schmidtke (Microsoft)
Machine Translation Quality - Are We There Yet? - Dag Schmidtke (Microsoft)Machine Translation Quality - Are We There Yet? - Dag Schmidtke (Microsoft)
Machine Translation Quality - Are We There Yet? - Dag Schmidtke (Microsoft)
 
FME 2020.0 Sneak Peek
FME 2020.0 Sneak PeekFME 2020.0 Sneak Peek
FME 2020.0 Sneak Peek
 
How IBM and Dialogic Are Making Conferencing Smarter with AI
How IBM and Dialogic Are Making Conferencing Smarter with AIHow IBM and Dialogic Are Making Conferencing Smarter with AI
How IBM and Dialogic Are Making Conferencing Smarter with AI
 
Top Reasons to Choose Python for Your Next Web Development Project
Top Reasons to Choose Python for Your Next Web Development ProjectTop Reasons to Choose Python for Your Next Web Development Project
Top Reasons to Choose Python for Your Next Web Development Project
 
How to Improve Translation Productivity
How to Improve Translation ProductivityHow to Improve Translation Productivity
How to Improve Translation Productivity
 
A Research Study of Data Collection and Analysis of Semantics of Programming ...
A Research Study of Data Collection and Analysis of Semantics of Programming ...A Research Study of Data Collection and Analysis of Semantics of Programming ...
A Research Study of Data Collection and Analysis of Semantics of Programming ...
 
[Japan Tech summit 2017] SPL 004
[Japan Tech summit 2017] SPL 004[Japan Tech summit 2017] SPL 004
[Japan Tech summit 2017] SPL 004
 
CPaaS.io Y1 Review Meeting - Use Cases
CPaaS.io Y1 Review Meeting - Use CasesCPaaS.io Y1 Review Meeting - Use Cases
CPaaS.io Y1 Review Meeting - Use Cases
 
Resume_Dushiyant
Resume_DushiyantResume_Dushiyant
Resume_Dushiyant
 
New Breakthroughs in Machine Transation Technology
New Breakthroughs in Machine Transation TechnologyNew Breakthroughs in Machine Transation Technology
New Breakthroughs in Machine Transation Technology
 
APIdays 2015 - The State of Web API Languages
APIdays 2015 - The State of Web API LanguagesAPIdays 2015 - The State of Web API Languages
APIdays 2015 - The State of Web API Languages
 
APIdays 2015 - The State of Web API Languages
APIdays 2015 - The State of Web API LanguagesAPIdays 2015 - The State of Web API Languages
APIdays 2015 - The State of Web API Languages
 
Make your career with the best Python Training in Noida-1.pdf
Make your career with the best Python Training in Noida-1.pdfMake your career with the best Python Training in Noida-1.pdf
Make your career with the best Python Training in Noida-1.pdf
 
Blog post
Blog postBlog post
Blog post
 

More from Konstantin Savenkov

More from Konstantin Savenkov (12)

GPT and other Text Transformers: Black Swans and Stochastic Parrots
GPT and other Text Transformers:  Black Swans and Stochastic ParrotsGPT and other Text Transformers:  Black Swans and Stochastic Parrots
GPT and other Text Transformers: Black Swans and Stochastic Parrots
 
Как выбрать и приручить машинный перевод / How to choose and tame the Machine...
Как выбрать и приручить машинный перевод / How to choose and tame the Machine...Как выбрать и приручить машинный перевод / How to choose and tame the Machine...
Как выбрать и приручить машинный перевод / How to choose and tame the Machine...
 
Сравнительный анализ систем машинного перевода
Сравнительный анализ систем машинного переводаСравнительный анализ систем машинного перевода
Сравнительный анализ систем машинного перевода
 
Building a Data Driven Business
Building a Data Driven BusinessBuilding a Data Driven Business
Building a Data Driven Business
 
Управление бизнесом на основе данных
Управление бизнесом на основе данныхУправление бизнесом на основе данных
Управление бизнесом на основе данных
 
Messengers, Bots and Personal Assistants
Messengers, Bots and Personal AssistantsMessengers, Bots and Personal Assistants
Messengers, Bots and Personal Assistants
 
Рекомендательные системы: роль и оценка эффективности
Рекомендательные системы: роль и оценка эффективностиРекомендательные системы: роль и оценка эффективности
Рекомендательные системы: роль и оценка эффективности
 
Measuring the agile process improvement
Measuring the agile process improvementMeasuring the agile process improvement
Measuring the agile process improvement
 
Lean production для SAAS
Lean production для SAASLean production для SAAS
Lean production для SAAS
 
Driving Business Goals with Recommender Systems @ YAC/m 2015
Driving Business Goals with Recommender Systems @ YAC/m 2015Driving Business Goals with Recommender Systems @ YAC/m 2015
Driving Business Goals with Recommender Systems @ YAC/m 2015
 
The Economics of Recommender Systems
The Economics of Recommender SystemsThe Economics of Recommender Systems
The Economics of Recommender Systems
 
Recommender Systems in a nutshell
Recommender Systems in a nutshellRecommender Systems in a nutshell
Recommender Systems in a nutshell
 

Recently uploaded

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Peter Udo Diehl
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 

Recently uploaded (20)

"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutes
 
Optimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through ObservabilityOptimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through Observability
 
In-Depth Performance Testing Guide for IT Professionals
In-Depth Performance Testing Guide for IT ProfessionalsIn-Depth Performance Testing Guide for IT Professionals
In-Depth Performance Testing Guide for IT Professionals
 
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
AI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekAI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří Karpíšek
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
 

Intento Machine Translation Benchmark, July 2017

  • 2. • New MT providers: Global Tone Communications (best for English-to-Chinese so far) • Improved MT quality: Google, Microsoft, Baidu • Language coverage: no changes • Added latency analytics (slide 8) • Added API changes analytics (slide 9) July 2017© Intento, Inc. Changes since May 2017
  • 3. Overview • General Purpose Machine Translation Services with Public APIs • IBM Watson Language Translator • SDL Cloud Machine Translation • Google Cloud Translation API • Yandex Translate API • Baidu Translate API • Microsoft Translator Text API • Systran REST Translation API • PROMT Cloud API • GTCom YeeCloud MT • Benchmark Dimensions • Performance vs. Price • Language Coverage • API Latency • API Change frequency May 2017© Intento, Inc.
  • 4. Performance vs. Price Dataset WMT2016-17 Domain: News Pairs: ru-en, en-ru, de-en, en-de, cs- en, en-cs, tr-en, en-tr, fi-en, en-fi, ro-en, en-ro, en-zh, zh-en Performance Normalised hLEPOR score aggregated across all language pairs in the dataset Affordability = 1/price Using public volume-based pricing tiers Legend • performance range • price range • average position © Intento, Inc. July 2017
  • 5. Language coverage Unique language pairs - supported exclusively by one provider 1 100 10000 Google Yandex Microsoft Baidu Systran SDL MT PROMT IBM Watson GTCom 22 4 1 154 906 1 246 3 094 3 20 84 104109 756 3 306 8 556 10 506 Total Unique Supported language pairs © Intento, Inc. July 2017
  • 6. Language groups by web popularity*: P1 - ≥ 2.0% websites P2 - 0.5%-2% websites P3 - 0.1-0.3% websites P4 - <0.1% websites 100% 94% 64% 88% 30% P1 P2 P3 P4 P1 P2 P3 P4 59% 100% 100% 94% 64% 100% 94% 94% 63% 63% 59% Supported language pairs by popularity * https://w3techs.com/technologies/overview/content_language/all© Intento, Inc. Language coverage 44% of possible language pairs July 2017
  • 7. by service provider Google Cloud Translation API Microsoft Translator Text API Yandex Translate API Systran REST Translation API SDL Cloud Machine Translation PROMT Cloud API IBM Watson Language Translation July 2017© Intento, Inc. Language coverage Baidu Translate API
  • 8. Based on 100 1-segment requests for en-de pair Service latency Latency,seconds 0,1 1 10 100 Google Microsoft PROMT Yandex SDL MT GTCom IBM Baidu Systran 75% 95% 99.9% July 2017© Intento, Inc.
  • 9. API & Documentation changes in July 2017: Change frequency SDL MT 27 IBM 14 Google 13 Baidu 3 July 2017© Intento, Inc.
  • 10. Discover the best service providers for your AI task Evaluate performance on your own data at a fraction of the potential cost saving Access any provider with no effort using to our Single API Intento Service Platform July 2017© Intento, Inc.