[Serial Number Multilizer Pdf Translator
Addison Mauldin
This page contains comparisons of translation quality of different machine translation services. Although this is not an universal ranking of best machine translators for all situations, this type of scoring provides an indicative state of play.
Machine translation quality is a highly controversial topic, with a lot of debate around the usefulness of automatic translations. The discussion has contained a plenty of personal views and experiences, what has made the topic a matter of opinions rather than facts. We hope to add a little more actual data into the conversation with these statistics from our tests.
The analysis was made using MT-Qualifier, a technology that estimates machine translation quality automatically and without reference translations. MT-Qualifier evaluates the quality of several machine translation services automatically. The quality calculations are made separately for each segment and the overall quality score is the average of these numbers. The analysis contains up to six publicly available machine translation services: Apertium, Bing/Microsoft Translator, Google Translate, LinguaTec, Promt and Systran. The number of services may vary due to the available language options.
Disclaimer: Machine translation quality is always context-sensitive. The machine translation services included in this analysis may perform very differently with other material or between other languages. Also any possible changes that are made in the technologies may affect the quality. These changes are mostly silent and released without an announcement.
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According to Forrester Research, Web users are four times more likely to purchase from a company that communicates in their own language, regardless of their self-assessed level of English proficiency. Additionally, visitors to websites stay twice as long on sites that are available in their native tongue.
That means, if you want all your users / customers to feel comfortable with your product or service, you need to ensure they can understand it. Many cultures have their own regional standards for displaying names, dates, numbers, or currency.
Currency is another important variable when adapting content for different cultures. Not only can currency itself be different by country, position of the currency symbol may be different not only in different languages, but also in different countries. For example, countries such as Germany and Austria, speak the same language, but have a different currency format.
Without knowing the context of a word, translators are lost. It is equally important to offer industry-specific meanings, as those might be different from everyday word usage (are we talking about economic recession or hairline recession?).
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