The Printing Press

It is a little-known fact among the Western world that Johannes Gutenberg was not in fact the first to create a printing press. Borrowing from wood-block printing in many Asian cultures, Korean Choe Yun-ui created the first printing press with moveable block characters in the 1200s. However, due to many factors, such as invasion into Korea and the fact that organizing the Chinese characters to print took quite a while, this printing press did not become widespread.

Gutenberg’s printing press, on the other hand, often printed works written in Latin, which is written with far, far fewer letters than there are characters in Chinese. Arranging the type pieces and going through the printing process was markedly easier than in Korea two hundred years earlier, and Gutenberg’s printing press was essential for the increase in literacy in the following century. In our last blog, we mentioned that Martin Luther’s German translation of the Bible was a major turning point in the history of translation; without the printing press, his translation would not have reached even half the people that it did.

The Rosetta Stone

The Rosetta Stone, first discovered in 1799, held a passage that was written three times—twice in two versions of ancient Egyptian, and once in ancient Greek. The passage, written in 196 BC, was key to deciphering Egyptian hieroglyphics, despite so much of the Rosetta Stone being broken and incomplete.

The Nuremberg Trials

The infamous Nuremberg Trials were held to take Nazis to court and to try them for war crimes that took place during World War II. Remarkably, the trials only took ten months to complete, despite the need to translate and interpret the proceedings into numerous languages. This was accomplished by implementing the world’s first simultaneous interpretation program, which likely saved years off of the Trials’ time. Simultaneous interpretation is difficult to learn the skills for, but is commonly used for conferences, such as for the United Nations.

The Internet

With the advent of the internet, the world became even more global than ever. While learning languages and speaking or writing to a language partner regardless of distance was possible with phone calls and letters, the internet sped up those processes to be nearly immediate.

With this, however, came increasing demands for translation and interpretation for global businesses. Translators and interpreters now had to learn how to not only navigate linguistic landscapes, but also digital ones.

Machine Translation

Very recently in the history of translation and interpretation has been the rise in machine translation. Essentially, putting one string from language A into a machine, which would produce that string in language B. This method vastly improves the speed at which translators can do their jobs, but as machines can’t understand language in the way that humans do, translators and proofreaders are necessary to ensure that the final product doesn’t sound unnatural.

Now

While looking back at history, we also look towards the future. In the past, human history has had lots of events that have influenced today’s translators and interpreters. Many events even had an impact on the world as a whole, such as the printing press and the internet. In the future, there will only be even more AI inventions and events that will shape the translation and interpretation sphere. However, one thing we have seen clearly is that language has been highly varied and shaped by human thought and action; in that vein, we in the translation and interpretation industry are still far, far away from being replaced by machines or robots.

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!

For the best results when translating, it is important to always think about the context in which the source text was written and how it might be perceived if brought to the target culture. What this means is that language and culture are always very tightly intertwined with one another, so what one language might find normal, another language might find abnormal or outright offensive. For example, in the Hopi Indian language, there is no word for time, so their understanding of time is very different from most of the world where there is a defined word and definition for time. Similarly, divorce does not have its own native word in most Indian languages, and they instead use the English word “divorce,” if they ever want to get a divorce. However, divorce rates are much lower than they might be in other places in the world, due to their culture seeing marriage as a lifetime commitment. These kinds of cultural differences is why you have to do a little research when you are translating.

Similarly, in Japan, they have adapted a lot of English words into their own language and use them on a daily basis, but if an English speaking person heard these words, they might have a different idea of what they mean. For example the word “lamp” might mean a kind of light that you might find on your desk or in the room, but in Japanese, it is used almost exclusively for indicator lights. So when you translate languages that use words that appear in the target language as well, be sure to make sure that they have the same meaning in both languages.

Another thing you should be careful of is avoiding idioms altogether if you can help it. Idioms are commonplace in any language, but there will not always be an equivalent idiom in the target language. Unless the idiom is very essential to the translation, you should try to figure out a different way of phrasing it. For example, the phrase “two birds, one stone.” There may be equivalents to this in some languages, but if the target language does not have an equivalent, then you could instead say “accomplish two things with one action” or something of the sort.

While translation can be a fairly straightforward process of just taking the source words and then convert it into the target language, it can often be much more complex than that. While fields such as technical and patent translation might encourage a more one to one translation, there are some styles, phrases, and references that just won’t translate if you adapt a one to one style. That is where some creative liberties come into play where the translator tries to find replacement words or phrases that won’t always have the exact meaning of the original, but will be able to give the same nuance or elicit the same kind of reaction as the original did in the source language.

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