WinterGreen Research announces that it has published a new study Language Translation Software Market, Shares, Strategies and Forecasts, Worldwide, 2013 – 2019. The 2014 study has 536 pages, 151 tables and figures. Worldwide markets are poised to achieve continuing growth as the language translation software systems are put in place to support mobile end point information collections that are localized.
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Enterprise server has reached a long sought after milestone. With language translation software technology reaching a more mature state, comprehensive solutions are available that have never been available before. Comprehensive solutions combine the best attributes of rule-based and statistical machine translation. These integrated systems are able to meet the full range of translation needs on an enterprise scale.
Systems are powered by hybrid machine translation (MT) engines. IT enterprise-level machine translation combines rules systems and statistical systems to achieve a hybrid solution. These are a “black-box solution” due to the complexity of the software implementation and resources needed to successful train an engine.
Iterative software releases are evolving. They represent a goal executives want to reach. Iterative software releases allow larger vendors to compete with smaller, more nimble companies by making their feature function packages more robust. Meeting the Iterative software releases challenge depends on achieving an agile software development environment.
Continuous localization represents automation of localization resource bundles. Implementing internationalization depends on best practice systems use at the engineering level and further down the production chain. The largest IT localization are approached by bridging the gap between development and reuse of existing code modules. Products are positioned to address challenges directly.
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The concept of bringing translation management practices to overall software development is significant. Because language translation systems implement such robust content management solutions, a company can leverage its language translation expertise to offer hybrid sophisticated content management systems. These have the prospect of building much broader markets for localization for all software applications.
Language translation software market driving forces relate to localization at all levels of business process. Smart phones are the latest market driver for software language translation. Every enterprise has to make its web sites user friendly in every locality in which it has a market. Globally integrated enterprises generally have a presence in from 80 to 170 countries. Localization is equivalent to translation.
Cloud business solutions, social media, and platform systems of engagement represent major IT market shifts that have been incorporated by language translation software systems. The lines of business have taking over from the IT departments, but with cloud computing there is a transition back to IT.
Systems of engagement leverage the apps market segment that is defined by the line of business more often than by IT. A key cloud computing segment relates to development of apps for every industry. Visual feature and discovery decision tablets permit decision making. Visual decision making components can be exported.
Language translation is used in big data to mine the social media information for comments about products and companies. This data can be used for marketing decision making. Language translation is needed to achieve use of discovery features
People then access these web sites and buy from the sites using their smart phones. The Samsung Galaxy S IV can translate several languages in real time. It has the ability to translate off a piece of paper from the camera.
Table of Contents
Language Translation Software Executive Summary 33
Language Translation Softaware Market 33
Language Translation Software Market Driving Forces 34
Language Translation Software Cloud Platforms 37
Volume Of Documents For Translation Will Only Increase 38
Preparing For The Lack Of Translators 39
Language Translation Software Market Shares 43
Language Translation Market Forecasts 45
1. Language Translation Software Market Description and Market Dynamics 48
1.1 Language Translation Software ROI 48
1.1.1 Understanding Language Translation Software Productivity 50
1.1.2 Editors Use Language Translation Software: 50
1.1.3 Generic Machine Translation Systems 51
1.1.4 Total Cost of Ownership 51
1.1.5 Granular Machine Translation Engines Give Quality Output 53
1.2 Globalization of the Economy 55
1.2.1 War is changing: Negotiated Settlements and Police Work Are Becoming More The Norm 55
1.2.2 Prime Antagonistic Figures In Globalization 56
1.3 Machine Language Translation 58
1.3.1 Translation Services 58
1.3.2 Standardization Means: 59
1.4 Value of Language Translation Software Tools 59
1.4.1 Language Translation Software Growth Is Directly Attributable To Globalization 62
1.4.2 Online Marketplace Getting More Diverse 63
1.5 Translation Memory 63
1.5.1 Translation Memory Description 64
1.5.2 Translation Custom Services 69
1.5.3 Professional Services Connector Implementation Services 71
1.5.4 Work Product Maintenance 73
1.6 Global Language Teams 75
1.6.1 Software Localization 77
1.6.2 Key Translation Parameters 77
1.6.3 Rule-Based Machine Translation (RMT) 79
1.6.4 Statistical Machine Translation (SMT) 79
1.7 Standard Machine Translation vs. Customized Translation Services 79
1.7.1 Translation Software 80
1.8Interpreting in Health Care 81
1.8.1 Sight Translation (Written to Oral) 82
1.8.2 Translation of Simple Text (Written to Written) 82
1.9 Value of Natural Language Translation 83
1.9.1 Search Engine Translation Optimization 84
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