Pangeanic translation technology in the press

Pangeanic’s translation technology developments have often been the focus of international media and think tanks, like TAUS or Localization World, where we have showcased our technologies and Use Cases. Now, Pangeanic’s efficient translation workflows using Moses-based machine translation customized developments have also attracted local media attention. The prestigious Spanish newspaper ElMundo.es printed a 3-page report with a full description of the company’s history, star use cases and applications, renown machine translation applications and developments. Click here to obtain a free PDF of the article inno14oct.pdf. Days ago, Valencia’s regional Finance Minister was interviewed by the online newspaper 20minutos. He quoted Pangeanic’s taking part in the Valencian Global program and machine translation technologies as key to create an “innovation ecosystem” that can create “highly qualified jobs” due to its significant technological component. Pangeanic expects to grow its services as a result of taking part in the program and expand its global sales network. Pangeanic has also appeared in […]

Four Steps to Understanding DIY Machine Translation Customization

by Manuel Herranz There has been some recent controversy in LinkedIn and blogs about claims to higher technical levels of engine customization, what is machine translation engine customization, DIY Machine Translation Customization, and how some people understand it. PangeaMT specializes in custom-built systems which users (typically LSPs and translation language departments) can later re-train in two different ways 1. on-site if they have a full system installation (when data privacy is an issue) 2. using our own servers, in SaaS and via our API. K. Vashee states that “The reality is that running an open source MT solution or using a “upload and pray” solution like that of many DIY MT vendors has become very easy.” This is a gross misunderstanding of what DIY MT is. DIY is about empowering the MT user to take control of the system or at least part of the process, rather than being a […]

PangeaMT Webinar on Translation Customization and DIY MT

by Manuel Herranz Machine translation is a hot topic – and will be a hot topic for some years to come. But it is not only a hot topic with a lot of mystifying hype around it. Elia Yuste, Andi Frank and (I hope) myself came a little bit closer to discerning doubts about what is a customized machine translation engine, what is MT DIY, Our Gala Webinar aimed at clarifying some misconceptions about language companies building their own tools and applying them successfully in the language market. The language industry is a very varied industry, with few technological players which dominate the landscape and a myriad of smaller tools which fit many purposes, large and small. PangeaMT was born as the technological division solving the needs of a translation company. PangeaMT now has a life of its own and it is a well-respected, mature technology. The presentation is available […]

Understanding Machine Translation Customization and DIY MT

by Manuel Herranz The same mistake that was made by many translation agencies, translation companies and now language service providers is being made by tough machine translation companies. “My (machine) translation is better than yours”, “my machine translation system works, everybody else’s doesn’t”. Translation companies have learnt that they cannot sell translation services on “translation quality claims” only or “I am better than you because…”  – but it seems that some machine translation companies have to learn the same lesson. I am referring particularly to those with risky levels of investment /venture capital to repay and without the testing ground of in-house native speakers or a real translation department where to test their technologies and MT before release. At times, such companies obtained their “high quality clean data” by bombarding Google Translate and applying cleaning cycles which included manual revision by local, non-native graduates. Many LSPs fall for the big marketing campaigns, […]

Pangea Machine Translation at Machine Translation Summit XIV

Machine Translation technologies from division Pangea and its involvement within the EXPERT program will be presented at the poster session of the European MT Summit 2013 which will take place in Nice, 2-6th September. Pangeanic is attending as a member of the EU-funded Marie Curie consortium EXPERT (EXPloiting Empirical appRoaches to Translation). The aim of this EU-funded action is to train young researchers, namely Early Stage Researchers (ESRs) and Experienced Researchers (ERs), promoting research, development and the use of hybrid LT (language translation) technologies. Like other partners in the consortium, Pangeanic is to contribute to different project stages. At the end of the project, the technological division PangeaMT will oversee the implementation and evaluation of the new hybrid computer-aided translation technology proposed in EXPERT. The company will also collaborate by (co-)hosting and supervising a number of post-graduate and post-doctoral researchers. Some topics of interest for the translation industry are the […]

Translation Companies Rank High

by Manuel Herranz The translation industry, despite downward pressures (not unlike any other industries) seems to be able to provide revenue and career opportunities despite the grim economic outlook. Several translation companies are entrants in the famous Inc. 500-5000, which ranks companies by general revenue growth. This follows recent reports forecasting machine translation industry growth at around 18% and general translation industry growing (although slower) in 2012. There are 15 companies within the translation and language services category in total in the list. There are several conditions to qualify. Inc.500-5000 only lists US-based companies over a 3-year period and the companies must have generated a minimum of $100,000 in 2008 but at least $2M in 2012. As this is a commercial ranking, companies must be privately held, for-profit and they must not be divisions of larger companies or subsidiaries of foreign companies. This is the list and ranking of the […]

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Cloud Traffic and Data Will Increase Translation Services

Cisco estimates that global cloud traffic will grow 45% annually until 2016, with translation services growing at around 15% to 20% per year. According to Ian  Henderson, CTO of Rubic, a translation and location company, this means that many new machine translators must enter the industry each year to handle the content. On the other hand, Raymond Kurzweil, one of the brightest minds in the world, director of technology at Google and a futurist known for his predictions about artificial intelligence, predicts that machines will match human intelligence and perform several feats that seem to us science fiction nowadays, including human-quality translation, by year 2029. Current happenings also suggest a strong role for non-human translation, with machine translation (MT) advancing rapidly. Three simultaneous-translation devices have been announced since June 2012, including one by Microsoft that renders live audio translations from the spoken word, respecting the tones and inflexions of the […]

Human Translation or Machine Translation – What’s Best for Me?

For some people, using a translation software program to translate a piece of text from one language to the next is enough. It would be naive to believe this always works. We have proven at Pangeanic that this works in applied contexts, when we are dealing with a particular domain, enough clean data and when certain conditions apply. Please refer to many of our presentations since 2009 on the use of applied machine translation to speed translation of documentation in particular. But as we all know, it takes a lot more than just software. The application of unrestricted, universal machine translation will take some time. In fact, it would not be fair to talk about “machine translation” in general but language combinations (English/Spanish/French/Portuguese/Scandinavian) in which it is undoubtedly successful -whilst in other languages certain nuances make it less of a success story. Also, in some types of texts, it is essential […]

I used to be a Translator, Now I Run Machine Translation (LocWorld London 2013)

by Manuel Herranz It is only when looking back in time that one realizes how much work has been done, how far we are from where we used to be … what we call progress. That is what happened during our presentation at Localization World presentation of Pangea machine translation technologies. Our presentation summarized how the mix of Pangea Technologies have enabled translation practitioners to empower themselves (see the launch of our DIY SMT in Barcelona, 2011) and be active in machine translation rather than just be passive users or passive post-editors. The platform is mostly based on open source developments to allow flexibility and customization, but it also includes  propietary cleaning filters, translation engine creation and retraining, dataset management and a very powerful set of statistics so users can see improvements every step of the way. Pangea is the history of a solution designed for translators, for applied language professionals. It […]

Expert

Pangeanic in EU EXPERT Project Evaluating Hybrid Machine Translation

by Manuel Herranz As recently published in our news section, Pangeanic is taking part in the EU-funded EXPERT Project. EXPERT aims to train young researchers to promote the research, development and use of hybrid language translation technologies. In practice, EXPERT aims at improving translation practices and enhancing the productivity of relevant actors in the translation market. In this respect, EXPERT’s findings will set an agenda for new skills and jobs by promoting new job profiles based on empirical data from translation professionals (language service providers) and academia. The assumption of the project is that true potential of MT remains to be exploited as a result of non-user-friendly interfaces, lack of awareness of translator’s feedback, etc. However, Pangeanic already created and released a web-based tool that is able to organize material for Machine Translation by domain, maintain it and perform some cleaning routines, a key factor in our participation in the project. […]