SDL Language Weaver Blog
These blog posts are written by the employees of Language Weaver.
As a language technology provider to many of the top global brands we are fortunate
enough to have key industry experts in the division.
We’re going to be making some improvements to the blog over the next few months and we would love to hear your feedback so we can tailor the blog to your needs.
We want to improve everything from the site structure, to the type of content we create. We’ve looked at some best practices and we’ll be testing them to see if they improve the site for you. But what we are really interested in is what you want to see.
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Last October, SDL launched SDL BeGlobal, the industry’s first cloud platform for real-time automated translation. We traveled to cities in Europe, the US and Japan to showcase this new product to customers and prospects, and the feedback has been amazing.
However, another test for a new product is to see how the product stacks up to other new, innovative products in the market.
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The beginning of every year, we look back to 2010 and recap on accomplishments & areas to improve. Past experiences guide you through 2011 with an open mind to new ideas and practices to achieve success. To help you with your New Year’s resolutions, 1to1 Magazine interviewed more than 50 industry observers and insiders on what customer trends to keep your eye on in 2011. “Customer Strategy Trends to Watch 2011” cover:
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A Happy New Year to you all as we start 2011. I thought I'd start this year with a look back at machine translation in 2010! This was undoubtedly the year when interest in machine translation reached new heights. So looking back, what have we learnt or what happened to machine translation in 2010?
1. Consumer Acceptance
Google really brought machine translation to everyone's attention. The inclusion of automatic translation of web pages within the Chrome browser continues to generate significant traffic on Twitter even 12 months after it first appeared. It is also driving increased consumer acceptance of machine translation as a genuinely useful technology for breaking down language barriers across the internet.
2. Technology Change
Statistical machine translation usurped the traditional rules-based machine translation as the technology of choice for many. While rules-based technology is now over 50 years old, statistical is the 10 year old upstart with a bright future and support for many more languages.
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For centuries, people have been translating foreign languages into their own. Translators have played a significant role in world history. And the importance of language translation for cross-border communication and international trade was understood long ago. In an attempt to make translation much easier and less time-consuming, experts started to develop techniques for machine-based translation.
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Machine translation has been in the headlines consistently over the past 12 months with live experiments, mergers and acquisitions, mobile applications for smartphones, and internet forums buzzing with a definite sense of increasing acceptance from consumers.
Machine, or automatic translation, is old news for government institutions and security services. These organizations have been taking advantage of the technology to understand foreign language materials since its inception in the 1950’s. Also, they have been largely responsible for funding its ongoing development leading to the improved quality available today.
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Customer Satisfaction is the key to long-term business success. But satisfying the customer is not as easy as it may sound- especially with a significant number of competitors in the market offering the same products and services. Moreover, today’s customers are knowledgeable and empowered. They do not like products to be sold to them. Rather, they expect to buy a product/service based on research and information. Consequently, delivering a positive customer experience is becoming increasingly challenging for businesses- more so for those with a larger, diverse, global customer base.
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