Learn to Innovate (GALA Istanbul 2014)

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To succeed in today's competitive business climate, LSPs need to innovate.Successful, innovative professionals know how to find a balance between questioning, observing, networking, and experimenting, which gives them the capacity to associate and generate new products, services and even overhaul their business models. In this session, Diego will describe the five key skills that enable innovation, providing examples of leaders that excel in each of them.

Business

The Innovator's DNA
Questioning
Observing
Experimenting
Networking
Associating

the people who are crazy enough to
think they can change the world, are
the ones who do
1997 ad from Apple

This is the presentation I gave at the International Informix Users (IIUG) group in 2011. The presentation gives an introduction and overview of the architectures used in interactive entertainment (Online Games, social, MMO). I regret having to remove discussions covering video production, and video delivery, as well as CDN. Time did not allow, and those topics were not of as much interest to the audience.

TAUS Post-editing webinar. Spanish-to-English Module

tauyou

We are at the peak of inflated expectations with Artificial Intelligence (AI) and Machine Learning (ML) in our industry. However, soon we will reach the plateau of productivity, and many of the tasks humans are currently doing will be automated. Shall be be scared or take the opportunity to add more value to the solutions we deliver? In this presentation, Diego will review a few existing products in the market, as well as highlight some potential new use cases with a high return on the investment. (presented at the TAUS Translation Technology event at LocWorld Barcelona 2017)

I can't help falling in love with machine translation

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Like it or not, machine translation (MT) is here to stay. Certainly, there are some fields where MT (and CAT tools) will never be used because the process of creating a translated text requires significant creativity; but in others, MT is already competing successfully with human translators. MT is currently used in many technical fields and also for e-commerce, where a machine translated sentence plus a light post-editing is often good enough for the end client. But don’t worry, although some types of translation will be done using big data and natural language processing, top-quality human translations will never disappear! In this presentation, we will show, first, how MT can produce good translations in fields such as e-commerce and hospitality, although it might not be well-suited for certain other fields. We will touch on the issue of confidentiality. Then, we will describe the best way to deal with post-editing jobs from the freelance translator’s point of view and discuss key aspects such as the discount. Finally, we will cover how tools in the market deal with MT post-editing and some products specifically designed for the task. (presented at the METM16 conference) We will show that if having machines do the translating helps translation professionals increase their income and have more free time and also opens up new business opportunities, the best option is to embrace change and love MT.

Workshop on the tauyou machine translation platform

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Are you tired of using Google or Microsoft Machine Translation (MT) engines where you do not have confidentiality and control? Would you like to know how to build customized MT engines to double your productivity? How can you further explore the possibilities MT offers? In this workshop, we will describe the basics of the tauyou MT platform, to then show the optimum process to achieve significant gain in productivity. Translation will be faster and better after it. (T3L Conference, UAB, Barcelona, October 2016)

Mind the gap between what you say and what you deliver

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Some Lessons Learned on Machine Translation

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APIfying the Translation Industry

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If you're an SME, forget about your own service. Corporate clients require that every solution is integrated into their own ecosystems. Your SME needs to provide them with an easy-to-use API to make their lives easier. On the other hand, your solution should be flexible enough to incorporate services from other companies as well, so you need to be API-friendly and make it easy for others to work with you. What is the right trade-off? And once this ecosystem is in place, what are the new business models that emerge? In this presentation at the TAUS Roundtable on May 12th in Barcelona, Diego Bartolome from tauyou language technology will help SMEs consider appropriate API business models from a technical and business perspective.

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Machine Translation (MT) can provide a direct impact to the profit of professional translators and small and medium-sized LSPs. While still many think that MT is limited to Google or Bing, there are cost-effective solutions in the market that can be used in many situations to increase the speed, reduce the turnaround time, and improve the consistency (quality) of our jobs. In this session, we will cover the most important topics needed to successfully train, improve, measure, and price MT systems, even with the small Translation Memories (TMs) that are common among the translation industry. Together with processes, we will cover the available tools in the market, so that it is easier for freelancers and small LSPs to both increase the bottom line and diversify the operations thanks to exploiting new business opportunities. Presentation at Elia Together (February 12th 2016)

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The Beauty of Machine Translation

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In this presentation at the ProZ.com 2015 virtual conference (http://www.proz.com/virtual-conferences/668), Diego Bartolome from tauyou <language> explains how freelance translators and small translation companies can actually benefit from the exponential use of machine translation in all fields. If translators know how to deal with it, improve its performance, and extract the relevant metrics to justify the complaints when it doesn't work, machine translation will help translators be more productive and either earn more money or have more free time. In this session, Diego will cover the most important topics to deal with post-editing jobs.

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lo que he aprendido (y quiero compartir)

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What you need to put Machine Translation into practice: Tools, People, and Pr...

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You have no doubt been hearing about machine translation (MT) for several years now, but translating it into a high Return on Investment is not an easy task. We have heard many success stories presented at conferences, but we know a high number of LSPs that have failed to achieve their goals. In this master class we will share some success stories but also some failure use cases, so that we can all learn from them. After that, three hints on tools, people and processes will be given to help you successfully integrate MT into your workflow. Finally, we will discuss several examples of post-editing English machine translation output from various source languages.

How we failed to win a 100,000,000 word contract (GALA Istanbul 2014)

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2013 ATC Conference London: New Business Models for the Translation Industry

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To deal with today’s downward price pressure on Language Service Providers (LSPs), we have to rethink the value proposition for customers. What used to be valid a couple of years ago could be worthless in today's hyperconnected online world. Words as user-generated content, search engine marketing, online customer support, intelligent assistants, e-discovery, and others didn't even exist around 20 years ago. Where does your LSP want to be in 10 years time?

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