Translation

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As with software, if the data fed into the computer program (read source text) is bad, the program's results (read translation) will also be bad. I thought of this when reading ultan's recent post "Information Quality, MT and UX" on Multilingual Computing's Blogos blog. ultan notes that quality information not only makes machine translation easier, but simply is better information that is more easily understood by both humans and machines. So what is quality information? I think quality information consistent and concise, but well-written text with an audience-appropriate level of technical terminology. GIGO (Garbage In, Garbage Out) GIGO (Garbage In, Garbage Out)
The Coming Disintermediation and Disruption in the Translation Industry The Coming Disintermediation and Disruption in the Translation Industry I spent a few days in a very hot and dry Las Vegas last week at the IMTT Vendor Management Seminar, which I would wholeheartedly recommend to anybody who wants to understand how to better manage the relationship with translators to mutual benefit and also get a sense for changing production models in the industry. IMTT does a better job than anybody else I know of including translator perspectives into broader LSP and enterprise level localization discussions. They do this in a smaller and more engaged and interactive format than larger events. There were many great presentations on the nuts and bolts of vendor management, but two high level industry presentations stood out for me.
What is Holding the Wider Adoption of Machine Translation (MT) back? What is Holding the Wider Adoption of Machine Translation (MT) back? I have been seriously distracted the last few weeks by the World Cup which is really the only sporting event I really ever connect to anymore. This year I watched more games (in HDTV too) than I have since my childhood and I am glad that the clearly better team won the final. My opinion on the real winners: Germany, Uruguay, Spain and Ghana, the biggest and possibly worst loser in World Cup history: The Netherlands. Anyway, there is an interesting discussion in the LinkedIn MT forum started by Lori Thicke that I thought was worth summarizing and highlighting. The original question she poses is: Why is MT adoption so slow, given the clear and real benefits that she has seen in her own experience with MT?
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Facebook: From 1 to 100 languages in two years | Global by Desig
Social Translation : Using the WWL API To Build Multilingual Sit Social Translation : Using the WWL API To Build Multilingual Sit Language is one of the few remaining barriers on the Internet. The web has rendered time and distance largely irrelevant, but much of it remains fragmented by language. The Worldwide Lexicon , an open source project I have worked on for some time, aims to lower those barriers by combining people and computers to participate in translating and curating web content. We're releasing a new web services API, hosted on Google's cloud computing platform, that makes it easy to embed social translation features in virtually any website or web app. This tutorial explains how to build a variety of translation tools using straightforward web services development techniques.
Friday, December 19th, 2008 at 6:02 pm We just had an interesting meeting here discussing plans of how to provide translations of our documentations in different languages. I am a big fan of documentation and have given several presentations talking about the why and how of good docs. In essence the “good code explains itself” talk is a big fat arrogant lie. Wait till I come! » Blog Archive » Translating or localising doc Wait till I come! » Blog Archive » Translating or localising doc
NLA Machine translation (MT) Urdu software NLA Machine translation (MT) Urdu software NLA launches Urdu software to break language barriers Islamabad, July 19: English is no more a barrier in learning computer and internet technology as National Language Authority (NLA) on Saturday released and Urdu software carrying computing and processing systems, developed by its Centre of Excellence for Urdu Informatics. Machine translation (MT) software is a big step and now Urdu Data House is ready to replace other National languages on cyber space, NLA Chairman Iftikhar Arif announced in a ceremony. "Microsoft applications like Windows, Office are now converted into Urdu operating systems. NLA Machine translation (MT) Urdu software
MT on the Slope of Enlightenment? | Technology Please note that this website uses cookies to deliver our services to you, improve your experience and measure the usability of the site.By using this website you consent to their use. For more details, please read our Privacy Policy. (One cookie will be set to store your preference) (Ticking this sets a cookie to hide this popup if you then hit close. MT on the Slope of Enlightenment? | Technology
A recent study conducted by researchers at The University of Granada’s School of Translation and Interpretation attempts to analyze and evaluate the results of machine translations done with popular online tools such as Google Translator, Promt, and WorldLingo. The study was published in this month’s issue of Translation Journal, and it raised interesting questions for me about the possible uses for online machine translation. Looking at the findings, it should come as no surprise that all of the machine translation tools produced poor results in terms of the number of errors, or that after the translations passed through a round of human editing, the number of errors were drastically reduced. What is interesting, though, is that certain online tools performed better than others, and specific language combinations produced varying results. The graph below shows results from German into Spanish (the researchers used EvalTrans Software). Evaluating Machine Translation:The Present and Future of Multili Evaluating Machine Translation:The Present and Future of Multili
an open-source shallow-transfer machine translation engine and t an open-source shallow-transfer machine translation engine and t What is Apertium? Apertium is a free/open-source machine translation platform, initially aimed at related-language pairs but recently expanded to deal with more divergent language pairs (such as English-Catalan). The platform provides a language-independent machine translation engine tools to manage the linguistic data necessary to build a machine translation system for a given language pair and linguistic data for a growing number of language pairs.
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by Gill Corkindale | 3:58 PM June 28, 2007 I may be in the minority here, but has anyone else noticed the strange things that have been happening to English lately? I don’t mean business speak or management and technical jargon, but the way we are all starting to speak “international.” The lingua franca of the business world has gone global. More people are speaking English today — but are we all speaking the same language? I ask this question because recently I have found myself struggling to follow some conversations between executives from different countries. Do You Speak International? - Gill Corkindale - Harvard Business Do You Speak International? - Gill Corkindale - Harvard Business
An SDL advertisement in 2009 claimed that one person translated over 34,000 words in a 10 hour period using the new SDL Trados product release. The logic in the ad: buying a Trados license is a no-brainer and the expense can be recouped quickly. Many people, however, were upset by that ad and called it false advertising. You can read the discussion here. Can you translate 34,501 words in 10 hours? | GTS Blog
If I had to pick a project that most excited me in 2009, it would be Yeeyan, a distributed translation project focused on making influential English-language media accessible to a Chinese-speaking audience. Yeeyan’s founders built a community that included thousands of translators and struck partnerships with content providers like The Guardian, giving them permission to publish translated content. I was particularly struck by the talk Yeeyan cofounder Zhang Lei gave at the 2009 China Internet Research Conference at UPenn Annenberg – he made it clear that the motivation behind Yeeyan was a desire to use translation as a bridge between cultures, letting Chinese and English-speakers see the world from each other’s perspective. I was singing the project’s praises to a journalist last week when he pointed out that Yeeyan’s website was down. Welcome back, Yeeyan
What every mass marketer needs to learn from Grouch Perhaps the most plaintive complaint I hear from organizations goes something like this, "We worked really hard to get very good at xyz. We're well regarded, we're talented and now, all the market cares about is price. How can we get large groups of people to value our craft and buy from us again?" Apparently, the bulk of your market no longer wants to buy your top of the line furniture, lawn care services, accounting services, tailoring services, consulting... all they want is the cheapest. The masses don't want a better PC laptop.
The middlemen: how translators are boosting India's writers - Th
"Good enough" machine translation - Windows Live At Localization World 2008 in Madison I heard many remarks on how machine translation cannot compete with human translation, MT with human post-editing is not increasing productivity and how in general raw MT is only appropriate for "not so important" content like support articles. Many good points, but I couldn’t shake the feeling that it could not be that bad. Returning from Madison I ate Chinese food at the Detroit airport and my chopsticks came in this wrapper: I had a good laugh. I do suspect that this is a human translation, but certainly not one that would meet the quality criteria of LSPs or their customers. When measured against a high-quality human translation this translation would probably get a very low BLEU score.
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Ideas Better Translating Service the problem of making an intelligible automated translation -- much more one that's actually reasonable-sounding -- is not easy, and it's not exactly solved anywhere. the proposal is to make translations more direct and decipherable by not "sugar-coating" them trying to put them into regular English (or any other recipient language obviously) grammar. For example, Mandarin grammar is *completely* different from English grammar. When translating from Mandarin, notation (brackets, etc.) could be used instead of normal English grammatical structures to relay the grammatical structure of the Mandarin phrase.
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