Category Archives: translation

How much does website localization cost?

You have a website, and you have grown beyond just English speakers loving your content and buying your products. You want the whole world—or at least a few more amigos and comrades—to benefit from what you do.

Website localization is the answer, and website localization costs have never been lower. Let me explain how website localization costs are calculated and how to save money on localization for your site.

How to calculate website localization costs

Here is the simple formula:

Cost $.$$ = words x price-per-language

No matter which website localization company you go with, the bottom line depends upon how much text you have and which languages you choose. A solid number for budgeting purposes is $0.15/word, although the price will vary depending on the language, the complexity, and the services you need.

This will save you money.

Determining the word count of your website will quickly help you budget your project. You can paste your website texts into Microsoft Word and use its “Word Count” feature (available in the Tools menu) to get a fair idea of the size of your website localization project. Delete anything that is duplicated, like headers and footers and menus. This exercise will also force you to decide which pages of your website you want to localize. Often there is no need to translate everything.

In fact, there hardly ever is a good reason to translate everything. I always suggest localizing only the pages you expect a foreign audience to read. If you look at the localizations of the Babble-on site (www.ibabbleon.com), which is already in 12 languages, we chose to translate only the pages that a foreign audience would read. In our case, these were pages about translation services and copywriting in English. You certainly want your product and checkout pages translated, but perhaps your job listings and Help texts can wait. Cutting down the word count is the single best way to lower localization costs.

This will save you even more.

One of the most time consuming parts of website localization is not translation. It is making sure all the translated text appears in the right places in the HTML document. That is why it is important to go with a website localization company that understands the process. If you have your webmaster deal with inputting the files, you may save some money (unless your webmaster charges you by the hour). However, having the translator do this inputting helps ensure everything is put in the right place.

At Babble-on we use the latest website localization tools to make this process fast and accurate, and we pass the savings on to our clients. Make sure your preferred translator does the same.

Beyond budget

 

Localization is no easy task, and you want translators that are professional and knowledgable, ones that will tell you when something will be misinterpreted or misunderstood in their language. Besides budget, be sure to go with someone you trust and you can talk to any time and receive honest feedback. Check Yelp or other online reviews. Localization, after all, is not simply translation, but adapting text to a new audience with different sensitivities and needs.

Getting your site localized can be one of the best things you ever do for your business. It is relatively inexpensive and—assuming users in another country (or speaking another language in your own country)—are interested in what you do, you’ll gain back your investment tenfold in the long-run.

 

In which I explain how the word choice of developers affects translation and localization

Over the years, I have had the pleasure to work with many developers, some of them who have zealously taken it upon themselves to reinvent English grammar, design new forms of syntax and lexicon, or otherwise abuse the English language into a petrified shell of its former self. We all do this to some extent, and, in many cases, these developers have good reason to do so. However, translation and localization of anything other than the Queen’s English has its difficulties for users and translators alike.

These are some common issues we face as translators that developers are advised to keep in mind.

* As a disclaimer, these issues stem from translating English into other languages; using another source language would present yet other issues.

Word choice, not word AnythingYouLikeItToBe-ify!

Not a word, not a sentence — I care a lot about accuracy in translation, so one of the biggest show-stoppers for me is what we call the “untranslatable” phrases. Usually, this is stuff creative programmers and marketing gurus have pulled from out of their proverbial “backend,” and inevitably involves multiple words pushed together into one. Here I’m talking about things like:

  • SuperSelectiveSync
  • Re-undelete
  • Mysticgel

Unless you are Goethe, it is not recommended to combine multiple words into SuperAwesomeWords, even if you capitalize each one. Translators won’t know whether they should repeat your Germanization of the user interface, why it was done in the first place, and in some languages (Chinese, Arabic, etc.) it is not possible to do anyway. One typical resolution is to translate literally (i.e. “Sync that is very selective; Undo the delete command again”), but this often leads to confusing or just plain incorrect translations (“jelly of magic”?). This literal decoupling of words also results in very long translations that, in the English version, may have been purposefully shortened for whatever reason. Continue reading

Do translators use dictionaries?

Translators use dictionaries in the same way that doctors use the PDF (Physicians’ Desk Reference) and lawyers consult law libraries. There is always more information available than what is stored in the human brain. Sometimes you even just need a gentle reminder. 🙂

A translator fluent in two languages may never need to consult a dictionary to translate a simple text: a letter, a web page, etc. However, most good translators will ponder and rethink a few words on the page, especially key words and adjectives that appear in a text, in order to get the “best” choice. Interestingly, translators consult the thesaurus almost as much as the dictionary. Often we know what a word means, but we’re looking for just the right connotation in the target language. A thesaurus, in this case, can be even more invaluable than a dictionary. After all, which word would you choose to describe a sunset? Wonderful, magnificent, delightful, pleasing, brilliant, superb, fantastic, marvelous? Sometimes it’s helpful to consider your options for those final touches to convey the author’s style and intention more than relying solely on dictionary definition number one.

There are other tools that modern translators use. These include “translation memories” — glossaries built upon previous translations, as well as online sources. Modern translators tend to be “plugged in” to the Internet. There are websites such as proz.com and wordreference.com where translators discuss difficult or country-specific terminology. The sum of all these discussions is an invaluable treasure trove of language information that is often more useful than a standardized dictionary.

I am fond of saying that a good translator knows what he or she doesn’t know. You need to be able to spot phrases that might have a double meaning or an idiomatic reference so that you can consult the dictionary, the Internet and native speakers in order to find just the right meaning.

If you see a dictionary in a translator’s hand, it doesn’t mean trouble. It means the translation is about to get one step closer to success.

How far are we from an accurate machine language translation service?

Another question from Quora:

How far are we from an accurate machine language translation service?

As a professional translator, this is a topic that interests me greatly. I agree with Steven’s assessment of what a machine should be able to do, and I believe all of us in the linguistic field believe that machines will be able to do this. The question remains: when?

It is amusing to go back and review science fiction in the past 60 years, which, since the advent of computers, has always believed that we are on the cusp of this breakthrough. “Within a decade” seems to be a common response, but it has been wrong every time and will continue to be for the foreseeable future. Advances like IBM’s Watson are encouraging, and show that a computer that is well trained and given copious amounts of data can decipher “what” we mean in most cases. This is half of the battle for translation.

The other half is correctly translating into a given context, and as Steven shrewdly points out, even humans cannot do it properly every time. However, we are good at putting ourselves in the user’s context and deciding to change English units to metric, fixing mailing addresses, and even explaining terms that make no sense in another country. For instance, imagine you are a rental car company in the US: how useful would it be for me to tell you that I have 26 points on my driving record in Italy? Points are good in Italy, with a maximum of 30. You often need a translator or a native to point such things out.

One thing I often tell translators is that the key to translating is not just what you know, but being able to see that you don’t know something. Idioms often make some sense when translated literally, but it takes someone well versed in a language and in their own abilities to identify a phrase that might have a second or third meaning. In these cases, translators research in specialized glossaries, search for examples in articles and search engines, etc. Computer architects will need to teach machines this same skill of double-checking their work.

An interesting circumvention of typical thought on translation is Google’s online translator. In large part, it works like any other translator. However, Google is also trying to gather proper translations (from humans) for everything in every language. For instance, recently it acquired rights to the European patent catalog. Using such information, Google continually improves its translator with the hopes of one day offering translations based on what it “knows” is correct. Even this has its limitations and seems a ways off. Notwithstanding, it does show, of course, that lots of computer power and human intellect is trying to tackle the problem. Ask Google, and its engineers might tell you they’ll be there “within a decade” but we all know this is unlikely.

When will machines be able to translate for us? For getting the gist of something, online translators are already there. They will be much better in 10 years time, and perhaps good enough for many more common uses. But to do a professional-quality translation, where we truly rely on the computer: that might take a lifetime.

What languages are worth localizing your app into?

Another question from Quora:

What languages are worth localizing your app into?

Babble-on localizes iOS apps and software on a regular basis. What I’ve learned from companies doing it is that they aren’t just guessing. Here are some ways to help you decide which language(s) to localize in:

Go where your users are
For iOS App Store projects, you can look in iTunes Connect to determine where your app is gaining traction. For example, you may see a spike in downloads from Italy — that tells you that localizing into Italian is going to get you even more users, even if Italian is not the most widely spoken language on Earth.

Go where your users will be
Another example is a company that has a good idea for an app that will sell abroad. A client of ours had a beautiful app that showed tranquil background scenes and it was a hit in various countries (so he applied rule #1 and translated into the appropriate languages). However, he then had the idea that a “cherry blossom” scene would do well in Japan. He had us translate the app into Japanese. He was right — he knew users in that country would love it, and they did.

Go for the big ones (that pay)
China has a huge market and translating into Chinese is tempting — but only if you really feel users will PAY for your app there. Otherwise, you are always better going with the most popular: Spanish, French, German, Portuguese (Brazil is a surprisingly good market). Other big localization markets are Japanese and Russian (but again, Russia like China, may not yield paying customers).

One last factor to keep in mind is that simply translating your App Store description can get you a lot of users. It’s cheap to do and has a good result. If your app is not heavy with text, even trying multiple languages won’t cost you a lot.

The return on investment can be huge.

How do two cultures with different languages learn to communicate at first contact?

Original question from Quora:

How do two cultures with extremely divergent languages learn to communicate with each other at first contact?

My thesis work was in Latin American studies, and as such I read a lot of the “first encounter” diaries and biographies that were written. The answer is actually surprisingly easy: CHILDREN.

Columbus, Cortez, and likely many of the other explorers kidnapped young children or took them on as servants. As children learn language incredibly quickly, it was not long before they could work as interpreters for the Spanish. By the time of the second voyage to the Americas, Columbus had fluent interpreters.

Other accounts of first meetings between the Spanish and the Native Americans show similar patterns that work from there. The Indian tongues could be divided into several groups, but even if you had an interpreter from one Indian language, that person could communicate with other tribes not too far off, much the way Spaniards and Italians could (and still can) communicate even though they don’t speak exactly the same language.

When no interpreter was available, they were reduced to drawing pictures and using gestures, just as you would imagine. However, language is learned rather quickly, especially when you have a child’s brain to help you!

 

Google gets more translations to ponder from European Patents

Via Google in Translation Pact for European Patents – ABC News.

Google said Thursday it has reached an agreement with European patent authorities to use its online technology to translate some 50 million patents.

Mountain View, California-based Google will gain access to all the translated patents – more than 1.5 million documents and 50 000 new patents each year – which will help improve its machine translation technology. Moreover, it will also deal with the growing amount of technology-related information in Japanese, Chinese, Korean and Russian.

It’s no secret that Google’s ambition for cataloging the world’s information encompasses every language. Through many efforts, including its translator toolkit, Google has been gathering raw data on translations from professional translators. Since teaching a computer grammar and syntax logic has not brought new gains, the best approach seems to be to mimic. That is, if Google’s computers can see enough examples of proper translations done by professional translators, eventually the computer can simply cut and paste phrases and put it all together.

As a patent translator, I wouldn’t be scared by this just yet. Google’s machine translation still has a long way to go before it can truly understand us mere mortals. Take a look at the following machine translation for a shipping product in Apple’s iPhone App Store.

Don't hire Google Translate to do your App Store marketing

For those who don’t read French, it says “Now available in unemployment insurance French!”

<joke>Insert French unemployment joke here</joke>