In Word, there are many different functions that can be used to speed up translations. Macros, for example, are a great way of simplifying and standardizing repetitive phrases or formatting. Macros take some knowledge to implement, but they are very useful for all translators. For instance, if there is a specific phrase that is continuously used over the document, then you can create a macro so that you can just press a button every time you need to insert that word or phrase. Imagine the amount of time you can save by instead of typing out a full word every time, you just press a button and the entire word or phrase comes out.

Some translators also prefer to use voice to text programs to do their translations. The advantage of voice to text is that it is overall faster than typing. If you have a long document, you can get through it faster than if you were typing. Voice to text does come with some disadvantages though. You will need to make sure that you have a good microphone so that it can clearly pick up on your voice. You will also need to make sure that you speak clearly so that it does not mistake any of your words. You will also have to get used to the voice controls and customize it so that it fits your work habits. However, there are some programs that you can use to help fine tune the listening so that it captures exactly what you’re saying even if you aren’t speaking clearly.

In terms of programs that can be used, if you are not looking to spend too much money, there are free options like Google Docs that have a decent voice recognition system. Microsoft Word also has a dictate function that its users can use to type out their translations with their voices. Then there are more premium options such as DRAG0N which have built in AI that can learn from your voice patterns, or can learn from your direct input. Many translators who use voice dictation and get used to it tend to not go back to just typing out their translations.

For Asian languages such as Japanese, there are also programs such as ATOK that can automatically convert the text you are writing into the appropriate characters. Instead of manually having to sift through characters, the program will learn and recognize when certain characters should be used rather than others and then enter them for you. It can save a lot of time for translators not having to take the time to look for the appropriate character every time they translate.

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

Now, it won’t be long before a device is made that will enable audio to be translated to any language for display. In fact, a lot of transcribing services already provide the option to do this. However, a mobile device that could perform this feature would be newsworthy material.

Project Glass is still in its development stage, currently gathering patents on all its technology that’s being developed.  If this technology hits the market, the price is sure to be high. However, imagine a similar technology coming out for an affordable price. The means of technology are endless.

Picture and Info Source :
http://arstechnica.com/information-technology/2012/05/google-glasses-patent-hints-at-speech-to-text-display-for-deaf-users/