Lingotek Translation Platform

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Lingotek provides a translation platform with computer-assisted translation tools like terminology management, machine translation, and translation memory to help reduce the amount needing translation, reuse appropriate terminology, and recycle exact matches. It offers collaborative translation features through an API and crowdsourced workflow, as well as group review and voting capabilities.

Business Technology

Lingotek Translation Platform Technology and Benefits Overview

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SDL is the leader in global content management and language translation solutions. With more than 20 years of experience, SDL helps companies build relevant online experiences that deliver transformative business results on a global scale. Translation Industry continues to grow, and Freelancers, LSPs and Corporate clients all see increased demand as more and more content is created, so we have to address them all. As a Market-leading translation productivity tool, SDL Trados Studio is trusted by over 200,000 translation professionals to boost productivity, control quality and aid collaboration. SDL has launched Trados Studio 2017. This presentation will introduce SDL Trados Studio 2017 and highlight SDL’s new productivity booster- UPLIFT, which is well welcomed by global clients.

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The STAR Group is a global leader in development of translation technology systems for translators and project managers. Transit NXT, STAR’s translation memory system is used by thousands of translators around the world. STAR MT is the Moses-based SMT system developed by STAR that integrates with Transit NXT combining both MT and TM solutions. Proven concepts and technologies from the TM sector are now being used for MT: STAR’s intelligent data structure for reference material and terminology provides significant added value as MT training material for STAR MT. In this presentation we will show, how machine translation integrates with Transit NXT and how project managers and translators benefit from and controlled use of machine translation. In practice, STAR experience shows that MT quality is especially high for segments with very good fuzzy matches. STAR has developed specialized editing functions within our solution that combine TM matches and MT suggestions as segments for “validation rather than repair”. We validate MT results using TM material, rather than repairing missing sections of fuzzy matches using MT. Translators and post-editors can see at a glance what needs to be done, and can benefit from the quality of validated reference material combined with the efficiency of an MT system. This delivers higher quality matches to the translator.

80 years ago, the bar for a retail experience was low. A simple shelf in a gas station was enough to display our company's initial product line. Today, that won't cut it. Today's designers have to incorporate scores of inputs, from how our customers encounter our products online and in the real world, to multiple departmental budgets and timelines converging around a campaign. In this environment, it's easy for customer perspective to get lost. And yet customer experience is more important than ever. "Experience" is the secret sauce that will save physical stores from Internet giants. For designers, experience can be an overwhelmingly broad and loosely defined concept that is dependent on context and requires a rich understanding of the people for whom we are designing. As leaders within our company's design and research teams, we’ll walk through our experience research and design approach via a case study of REI’s recently redesigned camping department. We'll share this process in detail: understanding customers in their authentic context; comparing information behavior in the physical and digital worlds; fostering customer-centricity on diverse design teams; carrying this empathy through physical space design, prototyping, and iteration; and navigating the politics of experience design.

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Presented at the IA Summit on April 24, 2015. For years, REI.com’s global navigation existed in a relatively stable equilibrium. It balanced the need to sell products and services, provide access to educational content, and inform visitors about unique aspects of the company. But a recent agency-led redesign threatened to disrupt this stability. Suddenly, a whole host of assumptions around the proper role of site-wide navigation were exposed. As REI’s in-house IA, I had a front row seat to watch merchants, marketers, designers, and business managers wrangle over their competing expectations of REI’s global nav. My job was to influence opinion and try to restore a healthy balance in the navigation while still supporting a new design direction for the site. This talk will be a case study of the unexpected political struggles that were revealed during the design process. I’ll attempt to fairly portray the full range of perspectives on global navigation, from customers to business owners, from agency designers to in-house designers, from accepted practice to emerging trends. I’ll talk as candidly as I can about the discussions that took place throughout the redesign process, and where we landed on some fundamental questions about navigation: Who should we design for? Who should care about the global nav? And, particularly, what is IA’s role in the creative process? In short, when politics enter the design studio, who wins?

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High quality translations that are delivered quickly are a result of a seamless and efficient translation process, but getting to this stage requires a well thought out plan, rigorous content preprocessing techniques and most importantly, clear and transparent communication between the automated translation vendor and language service provider. In this webinar, Christian Taube and Brian Coyle discusses how the Matrix and KantanMT partnership delivers a high quality, scalable solution that increases translation productivity and supports engineering and automotive terminology standards. The webinar uses specific case study examples including a discussion on what types of content to focus on and preparing and managing Translation Memory data. Discussion includes: • Managing content for best results • Preparing TM data • Tools that generate high quality results

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