1. Aren’t translators and interpreters the same?

This is a very, very common misconception. Outside of the language service provider sphere, “translator” and “interpreter” can be used interchangeably in most discussions. Such as: “We’ll need a translator at the board meeting” versus “We’ll need an interpreter at the board meeting.”

But just what is the difference between those terms? Simply enough, both “translator” and “interpreter” refer to someone who conveys information from one language to another; more specifically, a “translator” works with written words, while an “interpreter” works with spoken words. Some people are only translators, some are only interpreters, and others are both.

2. Can’t any bilingual person be a translator/interpreter?

A very common misconception (in the workplace especially) is “Billy is bilingual, so he can handle this project and translate/interpret for us.” Just because a person is bilingual (or trilingual or more, even), does not mean that they have the training required to be a proper translator or interpreter.

Imagine that “Billy” speaks Spanish at home, but grew up going to school where the primary language of instruction was English. While there’s a chance he can talk about any subject at home with his family members, a likely scenario is that he will know more about biology in English terms rather than Spanish terms. Unless the conversation were very simple, such as general conversation for travel or something similar, it would be very difficult for Billy to translate or interpret something.

Translators and interpreters go through rigorous training for their respective crafts, and have expanded their vocabularies enough to compensate. Proper translators and interpreters have high-level certifications as well.

3. I know a translator/interpreter who did Assignment X, why can’t they do Assignment Y?

In the language services industry, some translators and interpreters can fall under the category of “subject matter experts.” These people have trained to not just be general translators or interpreters, but have polished their skills to cater to certain types of work.

Take “Billy” from above, for example. Imagine he’s become passionate for being an interpreter, and his other interest in biology spurs him to an interest in medical interpretation. After enough study, focus, and—of course—certification, he becomes a proper medical interpreter and specializes in speaking between doctors and patients about surgeries. He might be able to do general interpretation as well, but because of his deep specialty, he might have trouble if he suddenly needed to interpret for, say, a lawyer discussing a lawsuit.

Just like how doctors and lawyers require separate studies, medical interpreters and legal interpreters also require focused study in their area of expertise. They may have skills that overlap, but generally, it’s best to rely on separate translators/interpreters who are subject matter experts rather than the same one for every single job.

4. Wouldn’t machine translation work well enough?

Short answer: No.

Long answer: Machine translation can certainly help a translator do their work. Computer-assisted translation tools (called CAT tools in the industry) can keep a handy glossary of terms for the translator, and have the memory to provide reference for older, similar translations.

But if we rely only on machine translation, any number of problems can happen. Machines think very differently than humans and might misinterpret context, homonyms, word register, and so on. Computers may be able to perform complex mathematical calculations, but the human brain is hardwired for language. Put simply, a translation from a human is going to sound a lot more natural—and have fewer mistakes—than a simple machine translation.

5. Why does a translation need proofreading? Shouldn’t the translator be enough for that?

Speaking of “mistakes,” mistakes happen. To err is human, after all. Translators need proofreaders for the same reason that a journalist, book writer, or a lawyer needs one. Mistakes concerning facts, grammar, spelling, etc. can easily be made by any sort of writer, and the same goes for a translator.

Having a second pair of eyes does wonders for any written work. A proofreader for a translation can catch errors in spelling, word register, a forgotten period or comma—anything that might have slipped through the cracks. If you want a translation to be as polished as possible, having a proofreader is essential.

First, there is Statistical Machine Translation, or SMT. The best example of statistical translation is Google Translate. SMTs such as Google Translate use statistical models that draw on a large amount of bilingual text that is provided to them. Through this, they try to find statistical matches for how many times something has been translated as something. For example, if the word “apple” has been translated as “manzana” in Spanish enough times, then that becomes the SMT’s pick for the word apple. It does this for every word in the source and target language before it finally outputs a translation. SMTs can be useful for translating basic words and phrases. However, for more complex sentences, SMTs are not a good pick because they do not factor in context. This means that you can end up with some very strange sentences that do not properly reflect what is being said in the source sentence.

Next, there is the Rule-Based Machine Translation, or RBMT. As the name implies, with RBMT, the machine is translating based on the rules of grammar that it is given. It goes over the source language to analyze its grammar and then looks through the target language to see what kind of grammar rules need to be followed when translating the sentence. After it is done, it translates the sentence according to the rules that it looked up. While this might sound as if there might be fewer problems than SMTs, RBMT translations still need a great deal of proofreading to ensure that there are no problems with the text.

Third, there is the Hybrid Machine Translation, or HMT. The HMT takes elements of RBMTs and SMTs and then uses a translation memory. The addition of a translation memory makes the overall quality of the translation higher than that of SMTs and RBMTs, but there are still problems with using a HMT. For one, it still needs extensive editing, meaning that human translators will be needed to review all the translations.

The fourth, and final type of translation is Neural Machine Translation, or NMT. This type of machine translation uses neural network models that are based on the human brain to make statistical models for translation. When they work, NMTs can provide some of the most accurate translations that would need little to no editing potentially. One of NMT examples is DeepL.

Overall machine translation can be used as a tool to expedite translation, but whether it can produce clear and accurate translation for high level discussions, complex concepts, nuances and context that is still in question and requires time to advance it. This once again proves that the value of professional human translators is not replaceable just yet!

Terminology
When translating any document, it’s important to compile a glossary first (or read an existing glossary carefully if there already is one). Translation of terminology in a document should be consistent; specialized vocabulary, including titles and field-specific terms – things like, for example: spirit beings, supernatural other being, invisible other – should be rendered clearly and identically throughout the translation.

When dealing with pronouns, translators usually translate word by word. But if this approach results in an awkward translation, translators need to add, delete or replace words in order to make it sound natural in the target language.

Context
It’s important to refer to context, as this may give some clues as to how to translate, and which translation strategy should be adopted. Translators need to not only retain the meaning of the original text, but also the tone of the source.

Take this sentence, for example: “in very limited circumstances, it may be acceptable to pay for travel and lodging expenses.” “In very limited circumstances” and “it may be acceptable” are two key parts in this sentence. These two elements have certain tonal implications, and translators should highlight these two parts accordingly in the translation in order to stress the tone.

Long Sentences
Documents with very long sentences require translators to recreate the meaning of the original and write in a way that is concise and easy to follow. The solution is to identify the appropriate target-language sentence structure first, and then add the different necessary elements in it. Also, translators, of course, need to repeat what’s been said in the source text in order to avoid meaning shifts or mistranslations.

Here’s an example of a long sentence where we can use this strategy: “No employee, subcontractor, or joint venture partner is authorized to provide payment in any form, or to agree to provide payment in any form, for such expenses without the prior written approval of the Company’s legal counsel for the region within which such payment would be made.”
This is a very long sentence, and a very important one. The first thing to do is to set the sentence structure in our target language (in this case, Chinese), which is “……如果没有……，无权……。” Also, while frequent repetition of the same word or words is sometimes thought to be bad style, it may be necessary in serious legal or other specialized documents which uses standardized language.

Monterey Language Services is committed to bridging the world’s languages by providing quality, professional and efficient translation & interpretation services in over 175 languages.