Jack: You have more sexual hang ups than an adult chat line run by Gilbert Gottfried.
Liz: What?
Jack: That was written by a computer program we're working on to replace you.
(30 Rock)
To get a measure of how insignificant the localization industry is, witness the chasm that separates the amoeba in the machine translation (MT) sector and the Behemoth from Mountain View. The Google MT people are regularly quoted in major news outlets and then you witness the carping that ensues in the blogosphere and twittersphere. You would think that Google people would be lauded as pioneers in the field. By rolling out their engine for free, they have at least placed computerized translation at the forefront of the public’s imagination. You would be wrong.
It is telling to see that not a single Google guy or gal showed up at last November’s
Denver Conference of the Association for Machine Translation in the Americas (AMTA). The usual suspects were there: Asia Online, SDL-Language Weaver and a veritable Star Trek convention of academic geeks. Google was not even a corporate sponsor. None of the high-level Google MT execs was a guest speaker. The keynote address was delivered by Paul Bremer, for Chrissake. It is a measure of how far out in the wilderness these people are that they have to pay a former Bush Administration official to visit.
Even more telling is how the slightest critical piece on Google’s translation engine circulates at the speed of light through the blogosphere, especially by agencies and MT specialists. This, of course, is aided and abetted by slightly misinformed freelance translators who have nightmares at least once a week in which Google forecloses on their mortgage.
Google’s people, of course, are blissfully unaware of this. As in so many other fields, they are Moses on the mountain while the Israelites are in the valley building shrines to stones that look a little bit like sheep.
I guess Google researchers going to visit the AMTA would be a little like a twenty-first century Homo sapiens going to a Cro-Magnon convention to find viable alternatives to fossil fuel. “So, Mr. Ughhho, what do you have along the lines of fuel cells?” “Ughhho have fire! Fire good! Ughhho powerful!”
To get a feel of the little love that the Big G gets in Machine Translation Island, see the reaction to this
article in The Guardian. One member of the Google MT team is quoted as saying the following:
Andreas Zollmann, who has been researching in the field for many years and working at Google Translate for the last year, suggests, along with Blunsom, that the idea that more and more data can be introduced to make the system better and better is probably a false premise. "Each doubling of the amount of translated data input led to about a 0.5% improvement in the quality of the output," he suggests, but the doublings are not infinite. "We are now at this limit where there isn't that much more data in the world that we can use," he admits. "So now it is much more important again to add on different approaches and rules-based models."
What this means is that once Google Translate achieves a certain degree of quality (and pay no heed to any bulls**t to the contrary: Google Translate
is the state of the art in SMT), the rate of progress reaches a plateau. Improvements are still achieved, but they are painfully gradual compared to the pioneering years of the technology. Whereas five years ago doubling a one-billion-word corpus brought a 100% improvement in quality, nowadays a doubling of a ten-billion-word MT corpus only brings a marginal rate of improvement.
To analyze another example, take the reaction when another Google executive
remarked to an Australian newspaper that "
I'd be really careful about having any kind of a sensitive debate with someone either spoken or written using these translations." Whew, that prompted a firestorm!
Despite the myriad things that are questionable about the company,
one thing you have to love about The Google is its intellectual honesty. Of course, that honesty is enabled by the fact that its interest in setting up the MT engine in the first place isn’t commercial, but rather strategic. Instead of making pennies selling their MT application to corporates and Joe Schmoe, they decided to make the application available for free in order to expand their corpus. This is typical of the company’s long-term vision. Instead of licensing their invention, they decided to put it out there because any narrowing of the language barrier will broaden the reach of the Internet, which is their
real core business. So they simply devote a tiny sliver of their R&D budget to initiatives such as GT.
The Machine Translation Sector Has Been Googled
The thing is that a tiny squirt of Google’s R&D is like Gargantua flooding Paris. And the Parisians can get hopping mad and resentful! Zollmann’s unexceptional pronouncement can trigger a lot of sniping. From the purely clueless to the slyly disingenuous. Or take the whispering campaign about Google Translate and confidentiality issues (you know who you are).
Frankly, I find it all slightly smug and more than a little infuriating. Because it is typical of the intellectual dishonesty that pervades the vulgar push to drive down in standards in the translation industry through Web 2.0 idiocy. You see, folks, the thing is that
when a Google dude says “our MT engine has reached its limit” what he really means is “machine translation has reached its limit.”
And why is that? Because none of the pygmies sniping at Google can match its content aggregation capabilities. Or its raw (human) brain power.
The other strategy is to insinuate snidely the following: “Well,
Google might have reached its limits, but
we know a better shortcut down the Yellow Brick Road.” In response, one should entertain the following thought experiment. Let us imagine that there is an Albert Einstein of machine translation. Let’s imagine that he is 23 years old and just graduated from MIT with a double Ph.D. in physics and linguistics.
What is more likely: That he works for Google or for a mega-agency that haggles for nickels and dimes with freelancers? I have my own (incredibly biased) answer to that question. I leave you to draw your own.
Another, slightly bizarre, instance of this tendency is when Google began to warn that it would exclude from its search results any pages that had been machine translated, even those that had a smattering of post-editing. This, of course, is a huge bummer for the MT crowd, because its main objective isn’t to provide better machine translation technology.
Its real objective is to convince the industry to crowdsource the proofreading of MT drivel by non-professionals.
Google’s epistemological modesty prompts this sort of conspiratorial reaction: “Google just wants us to use only their MT tool.”
Which, in my view, is slightly bizarre. What does Google care about whether its free tool is used or not to machine translate a website? “Aha,” our conspiracy theorist will riposte, “if Google translate is not used, it cannot enrich its corpus. Right?” Wrong! While the translated website doesn’t enrich the Google corpus immediately, eventually it will make it out into the Internet and the company’s crawlers will eventually catch it in its nets. After identifying it as multilingual content, the site will ultimately make its way to further contaminate the SMT corpus.
Google Translate: Massive Party Pooper
Why all this animus? After all, Google is not in direct competition with the MT Lilliputians. “Free” is not in competition with companies that want to license their own SMT applications.
No, it’s not the competition. In a sense, it is something much, much worse. You see, Google squelched in one fell swoop the opportunity for another one of those rounds of incredibly wasteful capital misallocation to which Silicon Valley has treated us over the years. By creating the best MT application and putting it out there for free, many years of free-spending (and competing) venture-capital-financed startups failed to get off their ground. In a world without Page and Bryn, all of these MT dotcoms would have gotten exactly where we are now in double the time and at several times the cost to society.
Wasteful as they are, these manias are yummy because they create VC-funded millionaires that take seed money and sprinkle it on sportscars and trophy wives. And, lo, how many advisory fees were foregone by investment banks!
No, Virginia, there will never be a machine translation IPO. Or, to put it another way, it already happened. In 2003, when the U.S.S. Google floated on the wide open market seas and sank a lot of paper boat dreams.
The reverberations of the Google bomb are still felt to this day. Any presentation to a venture capitalist of the new, new thing in computerized translation is doomed to fail. The prospect goes home, takes off his tie, opens his laptop and applies the Beta version to his daughter’s French homework. His conclusion: The Next Big MT Thing actually performs pretty much along the lines of something that is
free (yuck!).
“
What are these clowns peddling? Next!”
Miguel Llorens is a freelance financial translator based in Madrid who works from Spanish into English. He is specialized in equity research, economics, accounting, and investment strategy. He has worked as a translator for Goldman Sachs, the US Government's Open Source Center and H.B.O. International, as well as many small-and-medium-sized brokerages and asset management companies operating in Spain. To contact him, visit his website and write to the address listed there. Feel free to join his LinkedIn network or to follow him on Twitter.
