Language Translation Software: Market Shares, Strategies, and Forecasts, Worldwide, 2014 to 2020
Albany, NewYork (PRWEB) November 03, 2014 -- WinterGreen Research announces that it has published a new study, "Language Translation Software: Market Shares, Strategy, and Forecasts, Worldwide, 2014 to 2020." 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 successfully 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.
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. 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.
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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.
Table of Content
Language Translation Software Executive Summary 33
Language Translation Software 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
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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
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