16th Annual LRC Internationalisation & Localisation Conference

This keynote talk will focus on the inherent democratizing qualities of the internet, enabling us all to write blogs, search/find content, translate, communicate globally. Robert will discuss, in the context of language and translation, how the Internet is breaking hierarchical/paternal production models and enabling a more egalitarian model which empowers the individual.

This breakout session will give conference participants the chance to learn how collaborative translation is viewed by a selection of invited speakers from publishers, vendors and academia. It will also allow them to contribute and ask questions from the assembled experts. Our facilitator, Jason Rickard, will begin the session by introducing the subject and will then ask a number of invited speakers to talk briefly about their visions in this area. The floor will then be opened to discussion from everyone.

This workshop will explore the types of projects that are suitable for Machine Translation (MT), and how they can be combined with human effort to deliver successful projects in less time and with higher margins. Not every project is suitable for MT, and we will explore the types of projects that are most suited and likely to succeed, and the related Business Models.

Return On Invest (ROI) is not well understood for MT projects. Whilst it is well known that customization of MT delivers translations that contain fewer errors and therefore require less post editing, what is not well understood is how quickly ROI can be achieved and what the costs of using MT are on an ongoing basis.

This workshop will explore the costs and ROI of various MT projects and how quickly the costs of customization can be recovered and cost savings realized. It will also explore the time savings on various projects and how they should be measured.

• Explore real world ROI examples
• Determining what kinds of projects are best suited to MT
• Determining the best Business Model for MT use
• How long and how many words will it require in order to get ROI

This breakout session, led by David Filip will give conference participants the chance to take part in a discussion on the current state of the LISA/OSCAR standards that are used by so many in our industry. David will begin the session by introducing the subject and will then ask a number of invited speakers to give their thoughts on the subject before opening up the discussion to everyone.

Access to good quality Machine Translation (MT) has never been as easy as it is today. Portals such as Google Translate and Bing Translator facilitate huge amounts of translation requests on a daily basis, for an
ever increasing spectrum of language pairs. People are finding many uses for the raw MT output provided by these, and other, freely available engines on the web, including gisting, assimilation, first drafts of
translations for dissemination, etc. However, each of these systems is a 'one size fits all' solution, where no customization is available to the user.

One alternative is to purchase a system, which may be overly
expensive, or be sub-optimal for the type of documentation required to be translated. Another alternative is to install a freely available system such as Moses, but this may prove unduly onerous for the naïve user. In this talk, we present SmartMATE, a portal which facilitates self-serve MT using state-of-the-art statistical MT (SMT). By means of a simple key-press, users can upload their own Translation Memory (TM) and glossaries, which are used to build an SMT system in very acceptable amounts of time. The SMT systems are thus, unlike in the above mentioned general-purpose portals, trained and tuned according to a users' need, and adhere to the required terminology. These systems can be exploited from SmartMATE's editing environment, which leverages MT with TM and the chosen glossaries, or via an API. According to user trials, this is a very exciting development, with the potential to vastly expand the user-base for self-serve SMT on a global basis.

Over the last few years, Intel has implemented a number of solutions to automate aspects of the localisation process. The presentation will discuss experiences and lessons learned from these deployments, and will also provide a short overview of Intel’s Cloud 2015 Vision, launched to help businesses implement cloud computing solutions that are federated, automated, and client-aware.

Paul will talk about the need to focus upstream on producing clean source content. Oracle has invested in educating and empowering their Development and Authoring community to produce clean concise Translation ready content. Translation should not be a downstream consideration but rather a part of base product / content design.

The language industry has been unable to unlock the nearly ‘unlimited opportunity’ within the global communications landscape, because to date technology has not enabled this. Until now? The convergence trends in the cloud and statistical machine translation are opening up new ways of working. Will these change the future landscape of our industry?

Explore the future with us as we answer these questions:

- How could cloud technologies impact business models in the language industry?
- How do we overcome security concerns with the cloud?
- Should we accommodate existing technologies and processes for the cloud or design capabilities specifically for working in the cloud?
- Are cloud and statistical machine translation driving fundamental change, or incremental change?

 

As more and more of Generation Y (currently 15-30 years old) hold senior IT positions, they will expect a working experience that mirrors their personal experience. These users will expect to share, like, comment on and engage with other users and Symantec more than ever. They will expect to have this experience where they are. This presentation will walk you through this emerging trend, show how Symantec is enabling this today in their products and what the benefits (and challenges) are.

 

Many translators and LSPs have been curious about Machine Translation (MT), but have yet to fully understand how they are able to build strategic advantage and increase revenues. Recent advances in MT have changed the landscape from being able to get the meaning (gist) of text in another language using MT to being able to publish the output with very few human edits. Industrial-strength customized MT now offers near-human quality and greatly improved translation throughput. With this increased productivity come new market opportunities for LSP’s. During this session, we will explore several examples of MT customization and provide a case study from Sajan where customized MT was able to deliver new business and expand an existing relationship.

- Requirements for Building a High Quality Near-Human Quality Translation Engine
- Incremental Improvement of Translation Quality
- The Long-Term Benefits of a Good MT engine
- Business opportunities
- Sustainable Revenue Models for LSPs
- The importance of focus when selecting and leveraging a domain
- Generating recurring revenues
- Expanding the scope of translation – Strategic Advantage
- Extending beyond the traditional human translation limitations
- Case Study: Sajan's experience with MT customization

 

In localising Microsoft Office to more than 40 main languages and 60 other languages there is an increased need for turning translations around faster than ever before while maintaining and improving the localisation quality. The Internet and cloud based technology are vital to this effort, and the presentation aims to highlight some of our current thinking/processes in this space.

 

One of the big challenges in SOA and cloud-based projects besides the transformation of economic and technical parameters into a scaleable high-performance automation layer accounts for the rigorous assignment of a genuine and unambiguous meaning to the employed process and business components. In global business environments this assignment must take into account internationalization considerations right from its local inception to also ensure successful mashup with and sharing of cultural adapted and translated business information, i.e. localized content of different flavours.

The consequent use of a vertically layered model provides a best practice solution for realizing a continuous quality assurance approach by establishing semantic relations between the singleton process and business components, which also serves as the foundation of a thorough and open language governance, and ensures that neither inconsistencies nor redundancies occur within business repositories across the served and serviced languages.

On this semantization layer the natural language expressions used to describe business process patterns and models are controlled and proved regarding aspects of language competence and business performance. Language competence includes the syntactic, semantic and terminological correctness and consistency of the expressions as well as localizability and translation readiness, and business performance ensures that process and business components are named unambiguously and are related to each other logically correct. Without this proofing effort business repository content is very often the bottleneck when transforming the models into IT service solutions as well as when navigating and discovering local and global services in internal and external service provider registries.

In this presentation, the language governance approach is detailed with intuitive problem descriptions from the field, and the importance of general policies, rules and vocabularies is addressed as well as the deployment of tool automation. In particular, we will show how this work that today mainly concerns process-oriented communities impacts the localization and translation industry and particularly their infrastructures within the next (few) years.

 

C-DAC has developed a "Localisation Project Management Framework" and further to that are planning to make the framework available as cloud services. This framework will also incorporate machine translation systems (see www.tdil-dc.in) which will be invoked as web services through the Localisation Project Management Framework.

 

Faster.  Better. Cheaper.  We are not the only industry to feel the pressure in these areas.  In fact, most industries as they mature face the same challenges.  Are translated words any different than other global commodities?  If translation is a commodity, will it be a Walmart of Words advertising “Low Prices” which dominates the industry, or is our challenge more of a logistical question where a FedEx of Words will win.  Or will new, self-service portals take over?  This presentation will look at the future from these perspectives and put it to the audience to discuss potential long-term success strategies.