Getting your Documentation Ready for Localization

Have you had to prepare your documentation for localization yet? My experience is that in almost all companies, writers have far too many other oppressive concerns gnawing at them to think about writing for localization.

A few days ago an industry colleague sent me a message asking, "Do you have experience making recommendations for how documentation can be authored for localization? I am looking to make our doc  process more efficient to reduce costs."

I replied that, given his stature and tenure in the industry, there was not likely anything I could suggest that he hadn't already considered. Nevertheless, I sent him a list of ideas, in increasing order of difficulty:

1. Make sure all the writers' computers are plugged in. (A bit of ironic humor I could not resist.)
2. Is it easy to get from the authoring tool(s) into TM, and back out into publishable format? This is my current headache with an API reference manual we localize for one client, because moving from source language to the translator tools and back to target format is a colossal headache. If you have similar problems, devote some cycles at the format-layer, even if it means writing an interface between your content management system and the translation tool.
3. There are "authoring memory" tools that can suggest and re-use already-xlated source text, so that writers don't say nearly the same thing multiple times and incur unnecessary TM penalties. Sajan has one, and SDLX contains one as well. I've never used either one, but I can imagine that success with the tools would require somebody with the documentation-familiarity of a technical writer and the global consciousness of a localization manager. Like you.
4. I've presented on localization to a variety of audiences, and have consistently found tech writers to be the most interested in it, vastly more so than developers. When you show writers how the TM tools work, tell them how they can save money and re-use content, and let them know that you care about the impact of their work on international products, they will smell the coffee and engage. This takes a bit of evangelism, but it's worth it if the writers change their own practices.
5. Convert everything to XML. Although Renato and Don of Common Sense Advisory joke that that will fix any L10n problem, it's nonetheless a good, long-term direction in which to move. It's easier to re-use text, and easier to mark text that should/should not be translated. That will save you money.
6. Start a program of controlled language authoring (dumbing down the sentences, always writing in a structure that machine translation will recognize, etc.). I guess that GM and Caterpillar are poster children for this kind of thing, but it puts the writers (and you, in the bargain) through the change of life, which is why I mention it last.

What about you? Have you faced this in your organization? How have you made document localization easier for the company, without driving your writers crazy?

If you liked this post, have a look at Getting Writers to Care about Localized Documents.

Machine translation in action

Has your boss asked you to use Google or AltaVista or some other flavor of machine translation to lower your translation costs?

Here's somebody who has put his money where your boss' mouth is.

Controlled language website attracts visitors from 110 countries

www.muegge.cc, a website dedicated to demonstrating the value of controlled language authoring and machine translation (MT), has attracted visitors from more than 110 countries since its launch in the summer of 2006. One of the unique features of this website is the fact that it uses Google language tools to automatically translate the site's content into 15 language pairs such as German to English or English to Simplified Chinese. The website was created from the ground up for MT, and all text was written in compliance with the CLOUT rule set, a controlled language designed specifically for MT.

muegge.cc, E-mail: info@muegge.cc, Web: http://www.muegge.cc

How do they do it? By controlling the text that goes into the translation machine. The simpler, more predictable and better structured the text, the more likely it can generate a satisfactory translation. In other words, machine translation would probably work better on a page of Hemingway than on a page of Shakespeare or Faulkner.

Don't forget, though: What you save in translation, you'll spend in whipping your writers into line. It may not look like real dollars, but it's time.

And time, as they say, is money.