As interpreters, we are always interested in the development of interpretation technology, including the possibility of “robot” interpreters. About a year ago, we wrote about the potential of interpretation software and Microsoft’s efforts in that area. Their software is meant to analyze your speech, translate it and synthesize an audio track of your own voice speaking in the target language. (However, the software will first need to study your voice for several hours. Also, it gets around one in eight words wrong.)

So are there robot interpreters in our future? The answer is complicated. Perhaps one day, but not any time soon.

Interpretation software faces many difficulties, in each of its component stages. The first step is speech recognition, an area that has seen great improvement over the last few years. Nowadays, speech recognition figures in our daily lives – when we make a call and are asked to speak to a robot, when we are driving and asked to give commands to the stereo system, etc. Due to its wide range of applications, speech recognition is the most mature of the technologies involved, but even it still has a long way to go before it becomes truly reliable, as we are well aware from our experiences.

Next, the words spoken (and hopefully understood correctly by the system) need to be translated. While machine translation has certainly come a long way, anyone who has tried to use Google or Bing Translate on a foreign language website can testify that what comes out is not always even legible, much less an accurate translation of the source text.

Finally, the software needs to generate a spoken version of its translation through text to speech synthesis. This is possible with today’s technology, but even there many irregularities remain. Intonation, emphasis and other vocal indicators still do not carry over particularly well into artificial voice generators, creating voices that sound, well, robotic.

Beyond these basic limitations of the software, there also remain concerns about the nuances of both translation and interpretation. Questions about homonyms, about words that have multiple meanings depending on context, and of course the issue of cultural differences. There are many situations where even the most sophisticated software will be unable to guess the subtle nuances a speaker intends. A human interpreter does not just translate the words, but also the subtext and hidden meanings within them, judging not only the speaker, but also the audience.

“Reading the audience” to judge their understanding and reception of the translation is a vital skill for an interpreter. It is also one that becomes even more important in smaller, more intimate settings outside of presentations and conference interpretation. In a business meeting, at a doctor’s appointment, even in court, the message needs to be tailored based on the reactions of the listener.

Can you image a robot, as they as now, doing medical interpretation or legal interpretation?

Monterey Language Services strives to provide the highest quality of translation and interpretation services. Please feel free to contact us for a quote.

Will this software eventually replace human translators and interpreters? We think not. And here are our thoughts:

The technique behind this revolutionary translation and interpretation software is called “Deep Neural Networks,” which mimics human brain behavior. It is, however, important to note that this breakthrough took place about only two years ago. On the other hand, the first translator, Saint Jerome, has translated the Bible into Latin in the 4th century. Human translators, as a result, have been around for thousands of years. This long historical foundation is unlikely to be replaced by machines.

As amazing and groundbreaking this technology may seem, errors still exists and much more improvement is required. The software is far from perfect. Researchers pointed out that the 1 in 7 or 8 words would be incorrect. It is not error-free. However, human interpreters are able to handle error right on the spot, hence more efficient.

Technology is a double-edged sword. While science can definitely increase our quality of life, it cannot fully replace human language specialists. Only human translators can identify the subtleties in languages. Only human interpreters can detect errors. Only human linguists are able to master the art of interpretation.

Monterey Language Services strives to provide the highest quality of translation and interpretation services. Please feel free to contact us for more information.

Image source: http://en.wikipedia.org/wiki/Artificial_neural_network

It is the time of the year when the Chinese people celebrate the full moon.  Speaking of the full moon, it plays a major role in folk tales.  It is when werewolves come to life.  A werewolf is of course a human who turns into a wolf. 

It is worth noting the origin of the word werewolf.  The first part of the word most likely derives from Old English wer, meaning “man”, thus the word plainly means “man wolf” (or “wolf man”, to match the movie title).  The translations in many other Indo-European languages agree with this root, like hombre lobo in Spanish and λυκάνθρωπος in Greek.

While most European languages are specific about the animal into which a human transforms, the Russian description of “werewolf” is more general.  For example, a Russian word used for “werewolf” is оборотень, which is closer to “shape shifter”. 

Shape shifter?  Folk tales the world over have frequently contained shape-shifting beings.  Our speculation might be that the Russians’ fear of wolves co-opted the idea of a shape-shifting being.  Could the use of this word in Russian be because of the differences between Russian culture and other cultures?

By the way, according to ethologist Valerius Geist of the University of Calgary, wolves are usually not a direct danger to humans as long as they are well fed, but if they start going hungry, they can turn aggressive.