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  • Language Translation Software: Worldwide Market Shares, Key Players and Growth Report 2014 to 2020

    (I-SoftwareNews.Com, July 30, 2016 ) Language Translation Software: Market Shares, strategies, and Forecasts, worldwide, 2014 to 2020 Size and Share Published in 2014-10-30 Available for US$ 3900 at Researchmoz.us

    Description

    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.

    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.

    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.

    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.

    Get a Free Sample Copy of the Report: http://www.researchmoz.us/enquiry.php?type=S&repid=228462

    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

    Language translation software market driving forces are related to the Internet usefulness to people in every locality. 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.

    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.

    Cloud business solutions, social media, and platform systems of engagement represent major IT market shifts. The lines of business are taking over from the IT departments. 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

    A trapped decision discovery feature is not too useful. What the systems of engagement seek to do is to capture institutional knowledge, social media knowledge and make it accessible to a broader group of people. Solutions are global. They are based on language translation that makes apps useful globally.

    Apps have support mobile devices. Cloud providers are able to develop custom mobile applications that include toolkits and accelerated systems with common functions that are part of process delivery. Buttons, cameras, geo specific features are available in the apps. It is possible to build composite solutions from within the cloud. Cloud mobile solutions tools mean users can build mobile composite applications that span two platforms.

    The brand support provided by the Lionbridge platform is compelling. The ability to support large web-architected brand projects depends on a language platform. Lionbridge has 52,000 individual client translation memories and 14,000 individual translators serving more than 700 clients. These people are supported by the software brand platform.

    The company continues to improve the grid architecture of this platform to enable 2,000 concurrent users with 99.9% uptime. Freeway™ is Lionbridge’s free, web-based translation management platform. Lionbridge provides the world's leading companies with localization solutions for their software, product documentation, marketing materials, training content and web sites to ensure a consistent user experience for their global customers.

    Localization is a complex process involving many steps all of which are needed to keep a brand intact as it is rolled out to 177 countries with web sites that are all localized to have appeal to the local people:

    Hybrid MT systems combine statistical and rules based translation to achieve a degree of accuracy not achievable by either system alone. Hybrid MT systems represent a major shift in language translation markets. It initiates the ability to combine two entirely different ways of achieving machine translation. The two together deliver a level of accuracy that is to be desired.

    Statistical MT systems apply statistical techniques to language data. They learn from text alignment. Rules based systems use in depth grammatical rules to achieve knowledge. Linguistic rules are applied to words and phrases for translation based on an in-depth knowledge of the language. MT takes into account the grammatical structure of each language and uses contextual rules to select among multiple meanings. Sentences are translated into the target language.

    Rule-based machine translation (RBMT) provides more of a human element to the translation because the rules are user-defined based on an understanding of the target language. The rules can be implemented iteratively, creating a way to achieve greater accuracy as the system is used over the years.

    SDL, Lionbridge, IBM and other vendors have positioned to provide industry specific product systems. Solutions are based on an in-depth knowledge of the issues and requirements that drive businesses. SDL takes content, communications, and products worldwide.

    Companies Profiled

    Market Leaders

    Lionbridge

    SDL / Trados

    Babylon

    Microsoft

    Systran

    Softissimo

    IBM

    Google

    Asia Online

    Language Engineering, LLC (LEC)

    Inquiry on this report: http://www.researchmoz.us/enquiry.php?type=E&repid=228462

    Market Participants

    AlphaCRC

    American Translators Association (ATA)

    Asia Online

    Bablefish

    Babylon

    The Big Word

    Bitext

    CallMiner

    China Translation Industry

    Cloudwords

    Duolingo

    Globalization and Localization Association (GALA)

    Google

    Hewlett Packard

    IBM

    Jonckers

    Kilgray

    Language Engineering, LLC (LEC)

    Lingo24

    Lingotek

    Lionbridge

    Lloyd International Translations

    Mission Essential Personnel (MEP)

    Moravia

    MultiCorpora

    Niemanlab.Org

    Nuance

    OpenAmplify

    Pactera Technology / HiSoft

    Plunet BusinessManager

    ProZ.com

    Reverso-Softissimo

    RWS Legal Translation

    SDL

    Star Group

    Symbio

    Systran

    Translations.com

    Translators Without Borders

    Veveo

    Vignette Content Management (VCM)

    WorldLingo

    Key Topics

    Language Translation Software

    Language Translation

    Machine Language

    Hybrid Translation

    Software Localization

    Language Teams

    Key Translation Parameters

    Rule-Based Machine

    Translation

    Statistical Machine

    Translation

    Rules Based Machine Translation

    Linguistic Services

    Language Translation Shares

    Machine Language

    Translation Localization

    Translation Localization

    Growth

    Translation Memory

    Systems of Engagement

    Mobile End Points

    Social Media Apps

    Social Cloud

    Combined Statistical and

    Rules Based Translation

    Linguistic Rules

    Chinese-English Machine Translation

    English-Chinese Machine

    Translation

    Rule-Based Machine

    Translation System

    Hybrid Approach

    Statistical Post-Editing

    Translation Localization

    Browse All ICT Market Research Reports at: http://www.researchmoz.us/ict-market-reports-96.html

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