Machine Translation Market Report 2017

MT technology itself is on its way to becoming a commodity, shifting the critical growth factor to language data, i.e.  language-pair, speech and monolingual data sets) that are used to train the engines. In this Machine Translation Market Report, we zoom in on the different types of offerings and players in the MT market, with a special focus on the emergence of neural MT. 

 

 

 

 

 

Summary

About this Report

In this 2017 Machine Translation Market Report, we zoom in on the different types of offerings and players in the MT market, with a special focus on the emergence of neural MT. We have talked to more than fifty MT technology stakeholders: developers, users, value-added resellers, and consultants, and we have run several surveys. Our conclusion is that MT is on a journey with no return ticket. Despite the many challenges – also documented in this report – we continue to expect very widespread adoption. The biggest growth, however, will not be in pure MT-related revenue. MT technology is above all an

The biggest growth, however, will not be in pure MT-related revenue. MT technology is above all an enabler, a crucial component of what we at TAUS call the Convergence Era. MT is a means, not a goal in itself. It empowers many new forms of communications built into anything from wearable technology, search and social media to the Internet of Things, chatbots, and apps. Moreover, MT now forms part of the established process of human translation production as well, either by complementing or replacing outdated translation memory tools. Post-editing MT output is likely to replace translation memory leveraging as the primary production environment in industrial translation in the next five years. The more recent arrival of neural MT will shift the cursor yet again, opening up the still unexplored powers of machine

Moreover, MT now forms part of the established process of human translation production as well, either by complementing or replacing outdated translation memory tools. Post-editing MT output is likely to replace translation memory leveraging as the primary production environment in industrial translation in the next five years. The more recent arrival of neural MT will shift the cursor yet again, opening up the still unexplored powers of machine learning to the existing paradigm of data volume and compute velocity. MT capability, then, will be integrated into all forms of digital communication. Yet when it comes to sizing the “pure play” MT market, our estimates are modest. Adding up revenues from licenses, subscriptions (SaaS) and professional services, we arrive at an estimate of some 130 million US dollars in 2017 with a growth rate of no more than 6% for the coming years. A final

MT capability, then, will be integrated into all forms of digital communication. Yet when it comes to sizing the “pure play” MT market, our estimates are modest. Adding up revenues from licenses, subscriptions (SaaS) and professional services, we arrive at an estimate of some 130 million US dollars in 2017 with a growth rate of no more than 6% for the coming years.

A final takeaway from this report: MT technology itself is on its way to becoming a commodity, shifting the critical growth factor to language data, i.e.  language-pair, speech and monolingual data sets) that are used to train the engines.  

Table of Contents

Table of Contents

1 Introduction

2 Executive Summary

3 Acknowledgments and references

4 About the authors

5 Four Historical Drivers of Translation

6 Origins & Growth of Machine Translation

6.1 3 models of MT

6. 2 Open-source system

6.3 Adaptive MT

7 Neural Machine Translation

7.1 Introduction

7.2 How neural MT works

7.3 Observed benefits of NMT

7.4 Current issues concerning NMT

7.5 State of play and outlook

8. Major Use Cases for Machine Translation

8.1 Introduction

8.2 Gisting (aka assimilation)

8.3 Search and discovery

8.4 Sentiment analysis

8.5 Post-editing (aka dissemination)

8.6 Speech translation

8.7 Communication in crisis, emergency and risk

8.8 Integration MT in CAT tools

9 Scoping the Machine Translation Market

9.1 Types of players

9.2 Types of products & services

10 State of the MT Market 2017

10.1 Size

10.2 Concentration

10.3 Revenue

10.4 Pricing

10.5 Business opportunities in MT

10.6 Impact of NMT

11 Trends, Opportunities, and Challenges

11.1 Globalization

11.2 Opportunities

11.3 Challenges

12 Drivers, Inhibitors, and Predictions

12.1 Drivers and inhibitors

12.2 Predictions

13 Profiles of MT Companies

 

Download/ Purchase

TAUS Machine Translation Market Report 2017TAUS Machine Translation Market Report 2017

Authors: Andrew Joscelyne, Jaap van der Meer, Anna Samiotou, Achim Ruopp

Price: € 250,-

TAUS Members can download the TAUS Machine Translation Market Report for free. Please log in to download.

 

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