Translation Software Market to Grow to $7 Billion by 2019

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Translation Software Market to Grow to $7 Billion by 2019

Who says the world’s in a crisis? The translation software and machine translation market definitely doesn’t seem to be! This booming market is expected to grow to $7 billion by 2019. Why?

 

As internationalization becomes a worldwide trend, it’s no wonder that the translation software market is on the rise. More and more companies have expanded their business views to encompass a global perspective, i.e. they are going global. To successfully reach world domination, localization is a necessary feature. According to a report on website Companies and Markets the driving forces behind the translation market are connected to the internet, with the smartphone as its latest sweetheart: now, almost every company out there aims to have a user friendly website for each of their separate markets.

 

Enterprises that operate in the global market are usually present in 80-170 different countries. And the IT market hasn’t been sitting still either: recently, major shifts have been apparent in the market that now also encompasses cloud business solutions and social media. Moreover, IT departments are being replaced by lines of business – decisions are made by employing visual feature and discovery decision tablets, for example.

 

Companies use language translation to derive information and opinions about their products from the social media, which can then be used in decision-making. To enable discovery features to be used, language translation is needed. These systems of engagement find institutional and social media knowledge and make it more widely available. Afterwards, the solutions that can be derived from this are globally applicable.

 

Translation company Lionbridge clearly shows that the translation industry is a booming business. The company has 52,000 separate client translation memories and employs over 14,000 translators to cater for the needs of over 700 clients. Lionbridge has a software brand platform called Freeway™ that supports large, brand projects created on the web to aid their clients. The platform is updated regularly to make sure its 2,000 users have 99.9 per cent uptime.

 

There are two main types of machine translation: statistical and rule based machine translation.

 

Statistical machine translations

Take statistical techniques and apply these to language data. These systems learn from the several translations they carry out and use language knowledge such as linguistic rules and the grammatical structure of languages to carry out translations.

 

Rule-based machine translation

On the other hand, translates more like a human translator would do: it carries out translations based on rules that are defined by the user, who can iteratively implement them. This means the accuracy of the translation improves with every translation.

 

Hybrid machine translation

Systems combine these two types of machine translation and has proven to be far more accurate than translation created by using only one of these types of translation. Now that is has proven to create very accurate translations, this new form of machine translation is a major shift in the translation industry.

 

On the website cited above the entire report can be purchased. Among other things, the study sheds lights upon the market trends of the translation industry and related industries, gives a market share analysis and provides the reader with in-depth interviews with leading names in the market segment.

 

It’s not free though!

 

An overview of the contents include:

 

1. LANGUAGE TRANSLATION SOFTWARE MARKET DESCRIPTION AND MARKET DYNAMICS

 

1.1 Globalization of the Economy
1.1.1 War is changing: Negotiated Settlements and Police Work Are Becoming More The Norm
1.1.2 Prime Antagonistic Figures In Globalization

 

1.2 Machine Language Translation
1.2.1 Translation Services
1.2.2 Standardization Means:

 

1.3 Value of Language Translation Software Tools
1.3.1 Language Translation Software Growth Is Directly Attributable To Globalization
1.3.2 Online Marketplace Getting More Diverse

 

1.4 Translation Memory
1.4.1 Translation Memory Description
1.4.2 Translation Custom Services
1.4.3 Professional Services Connector Implementation Services
1.4.4 Work Product Maintenance

 

1.5 Global Language Teams
1.5.1 Software Localization
1.5.2 Key Translation Parameters
1.5.3 Rule-Based Machine Translation (RMT)
1.5.4 Statistical Machine Translation (SMT)

 

1.6 Standard Machine Translation vs. Customized Translation Services
1.6.1 Translation Software

 

1.7 Interpreting in Health Care
1.7.1 Sight Translation (Written to Oral)
1.7.2 Translation of Simple Text (Written to Written)

 

1.8 Value of Natural Language Translation
1.8.1 Search Engine Translation Optimization

 

1.9 Measuring Language Translation Systems Quality
1.9.1 Machine Translation (MT) Quality Impasse
1.9.2 Machine Translation Output Is Not Easily Predictable
1.9.3 Quality Metrics Depend on the Input Text and the Level of Customization
1.9.4 No Standards Govern MT Systems
1.9.5 Benefits of Machine Language Translation Systems Integration
1.9.6 Intuitive Coding Functionality Supplies Grammatical Information
1.9.7 Update Dictionary Resources and Enhance Source Text
1.9.8 Retranslate and Validate
1.9.9 Difficulty Of Measuring The Quality Of Automatic Language Translation Systems

 

1.10 International Events and Multinational Companies Require Simultaneous Translation
1.10.1 NATO
1.10.2 Rotary
1.10.3 Simultaneous Interpretation Specialists I.S.T.S NATO Presence
1.10.4 Simultaneous Interpretation Specialists I.S.T.S AVW-TELAV Rotary International Simultaneous Interpretation Services

 

2. LANGUAGE TRANSLATION SOFTWARE MARKET SHARES AND FORECASTS

 

2.1 Language Translation Software Market Shares and

 

2.2 Market Forecasts
2.1.1 Language Translation Software Market Driving Forces
2.1.2 Language Translation Software Cloud Platforms
2.1.3 Volume Of Documents For Translation Will Only Increase
2.1.4 Preparing For The Lack Of Translators

 

2.2 Language Translation Software Market Shares
2.2.1 Localization Translation Software Market Leading Participants
2.2.2 Lionbridge
2.2.3 Lionbridge
2.2.4 SDL Desktop Translation Software
2.2.5 SDL Trados For Professional Translators
2.2.6 SDL/ Trados Enterprise Translation Server
2.2.7 ABBYY Lingvo x3
2.2.8 ProZ / KudoZ
2.2.9 KudoZ Archive Of Two Million Terms
2.2.10 Asia Online Ability To Learn From Post Editing Corrections And Never Make The Same Mistake Twice
2.2.11 Google Translate API Paid version
2.2.12 Symbio
2.2.13 Language Translation Software Market Unit Shipment By Vendor

 

2.3 Language Translation Market Forecasts
2.3.1 Localization Solutions: Brand Support
2.3.2 Language Translation Software Supply Chain Market Forecasts: SDL Trados Studio
2.3.3 On Line Web Translation Solutions
2.3.4 Language Translation Software Market Segment Forecasts
2.3.5 Hybrid Machine Translation System
2.3.6 SDL / Trados Language Translation Vertical Target Markets
2.3.7 Asia Online Language Service Providers
2.3.8 RWS Legal Translation
2.3.9 Language Translation Market Unit Analysis and Market Penetration
2.3.10 Multinational Companies Protect The Brand Consistently In Every Market

 

2.4 Size Of The Language Translation Market
2.4.1 Suppliers Of Translation And Interpreting Services
2.4.2 Enterprise Global Infrastructure Depends on Language Translation
2.4.3 Machine Language Translation Globalization Market Sectors
2.4.4 Enterprise Translation Challenges
2.4.5 Disruptive Market Forces

 

2.5 Language Translation Pricing
2.6 Language Translation Regional Markets

 

3. SOLID STATE THIN FILM BATTERY PRODUCT DESCRIPTION

 

3.1 IBM® WebSphere® Translation Server
3.1.1 IBM WebSphere Translation Server for Multiplatforms:
3.1.2 IBM Globalization Software Solution
3.1.3 IBM Language Translation Platform Products
3.1.4 IBM Globalization Software Services
3.1.5 IBM Translation Addresses Business Challenges
3.1.6 IBM Supports Globalization of On Demand

 

3.2 SDL
3.2.1 SDL Trados Studio
3.2.2 SDL Supports Customer Experience
3.2.3 SDL Machine Translation Capabilities
3.2.4 Impact of Big Data on SDL Language Translation Systems
3.2.5 SDL Cloud Connectivity Creates Opportunities For Translation Providers
3.2.6 SDL Post-Editing Business Opportunities
3.2.7 SDL Desktop Translation Software
3.2.8 SDL Wiktionary
3.2.9 SDL Easy Chat Translator
3.2.10 SDL Enterprise Translation Solution
3.2.11 SDL/ Trados Platform Translation Software*
3.2.12 SDL RevleX™ Translation Memory (TM) Engine

 

3.3 Systran
3.3.1 Advantage of Systran Language Translation Technology
3.3.2 Benefits of Systran Language Translation Software
3.3.3 Systran Customization Methodology
3.3.4 Systran Enterprise Content Expands
3.3.5 Systran Gisting and Publishing Issues
3.3.6 SYSTRANLinks Simplifies Website Localization
3.3.7 SYSTRANLinks Intelligent Tools
3.3.8 SYSTRAN SYSTRANLinks, Simplifies Website Localization

 

3.4 Lionbridge
3.4.1 Lionbridge Enterprise Crowdsourcing Solutions
3.4.2 Lionbridge Enterprise Crowdsourcing
3.4.3 Lionbridge Technologies Localization Methodology
3.4.4 Lionbridge Automating Translation Management and Multilingual Content Management

 

3.5 Alchemy
3.5.1 Alchemy CATALYST 10
3.5.2 Alchemy CATALYST 10 Global Presence
3.5.3 Alchemy CATALYST 10 Visual Localization Solution
3.5.4 Alchemy CATALYST 10 Advanced Translation Memory Technology
3.5.5 Alchemy Publisher 3.0 – Advanced TM for Documentation
3.5.6 Alchemy Advanced Translation Memory Solution
3.5.7 Alchemy Integrated Project Environment

 

3.6 MultiCorpora
3.6.1 MultiCorpora Server Solutions
3.6.2 MultiCorpora Product Options & Add-ons
3.6.3 MultiCorpora Collaboration
3.6.4 MultiCorpora Deployment

 

3.7 Lingotek
3.7.1 Lingotek Cloud-Based Translation Management System
3.7.2 LingotekTranslatse Inside CMS
3.7.3 Lingotek File Prep
3.7.4 Lingotek Content Sync
3.7.5 Lingotek Centralized File Management
3.7.6 Lingotek File Support
3.7.7 Lingotek CMS integration
3.7.8 Lingotek API
3.7.9 Lingotek Privacy

 

3.8 [email protected]
3.8.1 EU Translation Engine Operates Using Statistical Algorithms

 

3.9 Kilgray Translation Technologies
3.9.1 Kilgra y MemoQ 3.0

 

3.10 Google Translate
3.10.1 Google Translate API Paid version

 

3.11 Language Weaver
3.11.1 Language Weaver Improves Communications Globally
3.11.2 Language Weaver’s Translations Powered By Statistically-Based Computer Algorithms

 

3.12 Proz / KudoZ
3.12.1 KudoZ Archive Of Two Million Terms

 

3.13 Cognition Technologies
3.14 Moravia
3.15 ABBYY Lingvo x3
3.16 Opportunities for Canada in the Translation Products And Services: Market
3.17 Babylon’s Free Online Translation
3.18 Bitext

 

3.19 Asia Online
3.19.1 Asia Online Language Studio™ Resolves Historical Complaints

 

3.20 Symbio Software
3.21 Solution
3.22 Softissimo
3.22.1 Softissimo Expertise

 

4. LANGUAGE TRANSLATION SOFTWARE TECHNOLOGY

 

4.1 Data-Driven Architecture
4.1.1 Convergence of Translation Memory and Statistical Machine Translation
4.1.2 Fuzzy Matches Of Information To Be Translated
4.1.3 Statistical Machine Based Language Translation Methods Integrated Into Rule Based Systems

 

4.2 Systran Chinese-English and English-Chinese Hybrid Machine Translation Systems
4.2.1 Asia Online Multilingual Content Publisher
4.2.2 Common Terminology Pools
4.2.3 Machine Translation
4.2.4 Language Translation Software Technology Positioning for the Internet

 

4.3 Members of the EUATC
4.3.1 Speech Technology In Pakistan

 

4.4 Machine Translation Technology by Computer
4.4.1 Number Of Words Translated Via Computer
4.4.2 IBM Importance of Business Partners

 

4.5 Human Language Translation
4.5.1 Human Translator Use of Machine Translation
4.5.2 Rule-Based And Statistical Machine Translation
4.5.3 Hybrid MT: The Best of Rules and Statistics
4.5.4 Business Case for Hybrid MT
4.5.5 Corpus Translation Studies

 

4.6 Vendor Language Translation Technology
4.6.1 IBM Machine Translation
4.6.2 IBM MT Strategy
4.6.3 AppTek HMT Breakthrough
4.6.4 AppTec Hybrid Machine Translation
4.6.5 Word Magic Technology
4.6.6 Sail Labs Communication Mining Technologies
4.6.7 Systran Intuitive Coding Technology

 

4.7 Translation Process For Hospitals And Health Care Organizations
4.7.1 Linguistically Appropriate Access and Services
4.7.2 Healthcare Parameters and Considerations for Evaluation
4.7.3 International Language Translation Quality Standards

 

4.8 Sharing Translation Memories
4.8.1 Model
4.8.2 Word Alignment
4.8.3 Methods for Learning Phrase Translations

 

4.9 Open Source Language Translation

 

4.10 Automatic Speech Recognition
4.10.1 Acoustic Models
4.10.2 Speaker ID/Clustering
4.10.3 Speaker Identification
4.10.4 Speaker Clustering
4.10.5 Speaker Change Detection
4.10.6 Spoken Translation Technology
4.10.7 Translation: The Problem

 

5. LANGUAGE TRANSLATION SOFTWARE: COMPANY DESCRIPTION

 

5.1 American Translators Association (ATA)
5.2 Asia Online

 

5.3 Babylon
5.3.1 Babylon Desktop Translator
5.3.2 Babylon Free Online Translation Service
5.3.3 Babylon Revenues

 

5.4 Bitext
5.4.1 Bitext Joins Salesforce Marketing Cloud Insights Ecosystem
5.4.2 Bitext Channel Partners
5.4.3 Bitext Revenue

 

5.5 CallMiner

 

5.6 China Translation Industry
5.6.1 Translators Association of China

 

5.7 Cloudwords
5.8 Duolingo
5.9 Globalization and Localization Association (GALA)

 

5.10 Google
5.10.1 Google / DNNresearch
5.10.2 Google Gets Startup Research On Neural Networks
5.10.3 Google Acquires Facial Recognition Software
5.10.4 Google Revenue

 

5.11 Hewlett Packard
5.11.1 HP Printing and Personal Systems Group
5.11.2 HP Software
5.11.3 Hewlett Packard Revenue

 

5.12 IBM
5.12.1 IBM Strategy
5.12.2 IBM PureData System for Transactions
5.12.3 IBM Business Partners
5.12.4 IBM Messaging Extension for Web Application Pattern
5.12.5 IBM PureSystems Partners
5.12.6 IBM MobileFirst
5.12.7 IBM Business Analytics and Optimization Strategy
5.12.8 IBM Growth Market Initiatives
5.12.9 IBM Business Analytics and Optimization
5.12.10 IBM Strategy
5.12.11 IBM Smarter Planet
5.12.12 IBM Cloud Computing
5.12.13 IBM Business Model
5.12.14 IBM Business Revenue Segments And Capabilities
5.12.15 IBM Software Capabilities
5.12.16 IBM Systems and Technology Capabilities
5.12.17 IBM Global Financing Capabilities

 

5.13 Kilgray

 

5.14 Language Engineering, LLC (LEC)
5.14.1 LEC Customers
5.14.2 LEC Quality Translations Between Major World Languages
5.14.3 LEC Translate on the Go

 

5.15 Lingo24

 

5.16 Lingotek
5.16.1 Commerce Guys Partnership With Lingotek

 

5.17 Lionbridge
5.17.1 Lionbridge Technologies Customers

 

5.18 Lloyd International Translations

 

5.19 Mission Essential Personnel (MEP)
5.19.1 Mission Essential Personnel Revenue
5.19.2 Mission Essential Personnel Transations

 

5.20 Moravia
5.20.1 Moravia Global Supply Platform
5.20.2 Moravia Global Reach
5.20.3 Moravia Key Translation, Localization, And Testing Services
5.20.4 Moravia Customers
5.20.5 Moravia Business Model
5.20.6 Moravia GALA Member Company

 

5.21 MultiCorpora
5.21.1 MultiCorpora Customers
5.21.2 MultiCorpora Partners

 

5.22 Niemanlab.Org
5.23 Nuance
5.24 OpenAmplify
5.25 Plunet BusinessManager
5.26 ProZ.com
5.27 Reverso-Softissimo
5.28 RWS Legal Translation

 

5.29 SDL
5.29.1 SDL Partners and Customers
5.29.2 SDL Cloud Connectivity Creates Opportunities For Translation Providers
5.29.3 SDL Trados
5.29.4 SDL Regional Analysis
5.29.5 SDL Continued Support To Overcome Language Barriers

 

5.30 Symbio
5.30.1 Symbio Technical Expertise
5.30.2 Symbio Positions as Internet Eliminates Traditional International Borders
5.30.3 Symbio App Services :
5.30.4 Symbio SPRL

 

5.31 Systran
5.31.1 Systran Machine Translation
5.31.2 Systran Innovative Hybrid Engine
5.31.3 Systran Revenue

 

5.32 Translations.com
5.32.1 Translations.com Vertical Industry Focus
5.32.2 Translations.com Areas of Expertise

 

5.33 Translators Without Borders
5.34 Veveo
5.35 Vignette Content Management (VCM)

 

5.36 WorldLingo
5.36.1 WorldLingo Innovation
5.36.2 WorldLingo Technology

 

5.37 Selected Translation Companies

Katia Reed
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